Yuval Noah Harari on AI, Future Tech, Society & Global Finance

Yuval Noah Harari
26 Jun 202444:17

Summary

TLDRIn a thought-provoking discussion, the potential of AI in the financial sector and its implications for society are explored. The conversation delves into the risks of AI's growing complexity, which could lead to a loss of human understanding and control, possibly resulting in a crisis of trust and a shift of power to algorithms. The role of institutions in regulating AI and maintaining human involvement is emphasized, along with the need for AI to be accountable and understandable. The dialogue also touches on AI's creative potential and the importance of using technology to build trust and address global challenges such as the climate crisis.

Takeaways

  • ๐Ÿง  The discussion at the Summit revolves around AI's role in the financial sector and the challenges of managing risks associated with AI's growing complexity and influence.
  • ๐ŸŒ The speaker suggests that as AI systems become more integral to financial operations, there's a risk of humans losing the ability to understand and thus control these systems, potentially leading to a crisis of trust and a shift of power to algorithms.
  • ๐Ÿค” There's a concern that if AI makes finance too complex for humans to grasp, it could result in a political and social crisis, with power shifting from humans to AI, which could be unregulated and unsupervised.
  • ๐Ÿ’ก The financial system's primary product is trust; it enables transactions between strangers. AI's potential to understand and innovate in finance could either bolster or undermine this trust.
  • ๐Ÿ”ฎ The speaker warns that AI could create financial instruments too complex for human understanding, leading to a dangerous reliance on AI during crises, which could exacerbate a loss of public trust in institutions.
  • ๐Ÿ›‘ The importance of maintaining human oversight and understanding of AI in finance is emphasized to prevent a scenario where AI's complexity leads to uncontrollable outcomes.
  • ๐ŸŒฑ Historical examples of technological transitions, such as the Industrial Revolution, show that while humanity can adapt and benefit from new technologies, the transition periods can be fraught with failed experiments and societal upheaval.
  • ๐ŸŒŸ AI's potential for creativity is highlighted, with examples like AlphaGo revolutionizing the game of Go, suggesting AI could bring about new forms of creativity in various fields, including finance.
  • ๐Ÿ”‘ The role of institutions in managing AI development is underscored as a means to ensure accountability and to harness AI's potential positively while avoiding dangerous misuse.
  • ๐ŸŒ The potential of AI to help address global challenges like the climate crisis is noted, suggesting that AI could be a tool for developing more sustainable and eco-friendly technologies.
  • ๐Ÿ’ก The conversation concludes with an audience question about the relationship between AI and human creativity, to which the speaker responds that AI is already demonstrating a form of creativity that could lead to significant advancements in various domains.

Q & A

  • What is the main concern regarding AI's impact on the financial system as discussed in the summit?

    -The main concern is that AI could make the financial system so complicated that no human, not even those in central banks or governments, can understand it, potentially leading to a crisis of trust and control shifting from humans to algorithms.

  • What is the current level of understanding of the financial system among the general population according to the speaker?

    -The speaker suggests that perhaps only 1% of the population truly understands how the financial system works, indicating a significant gap in general understanding.

  • What role does trust play in the financial system?

    -Trust is the ultimate product of the financial system. It allows for the creation of mechanisms like money, bonds, and shares that facilitate transactions and cooperation among millions of people.

  • How does AI differ from previous financial tools in terms of understanding and creating financial devices?

    -AI is the first tool that can understand finance better than humans because it deals with data and information more efficiently. It can potentially invent new financial devices that humans cannot comprehend.

  • What are the political implications of a financial system that is too complicated for humans to understand?

    -The political implications include a potential shift of power from humans to non-human intelligence, which could be dangerous as it involves giving control of an important part of society and politics to entities that cannot be regulated or supervised by humans.

  • What historical examples were given to illustrate the potential dangers of AI in the financial industry?

    -The speaker mentioned the financial crisis of 2007-2008, which started with a failure to regulate new financial tools like CDOs, as an example of what could happen if AI creates new financial devices that are too complex for human understanding.

  • What is the speaker's view on the potential creativity of AI in the future?

    -The speaker believes that AI is already very creative and will continue to explore new areas in various fields, including finance, in ways that are currently unimaginable to humans.

  • How does the speaker suggest we should approach the regulation of AI in the financial sector?

    -The speaker suggests that regulation should focus on ensuring AI remains accountable and understandable, and that it should facilitate the creation of more trust among people, which is the ultimate goal of the financial system.

  • What is the potential positive role of AI in addressing the climate and energy crises?

    -AI can help develop more eco-friendly technologies and find better ways to tap and use energy from the universe, which could assist in solving the climate and energy crises without halting economic growth.

  • How does the speaker view the concept of nations in relation to AI and the future of global cooperation?

    -The speaker believes that nations are not something to be abolished but rather need to be made to cooperate more effectively. New imaginative creations, including in finance, should focus on building trust among people across nations.

  • What is the speaker's stance on the idea of AI creating new 'fictions' that could enhance human flourishing?

    -The speaker advises caution, stating that while AI can create new kinds of fictions, it is dangerous to trust AI without question. Human-created fictions like nations have both positive and negative aspects and should be used responsibly.

Outlines

00:00

๐Ÿค– AI's Role and Challenges in the Financial Sector

The speaker discusses the current state of AI in the financial industry and the challenges it poses, particularly regarding regulation and understanding. AI's potential to complicate the financial system to a point where no human can understand it is highlighted, along with the societal and political crises that may arise from such a scenario. The importance of maintaining human oversight and the role of trust in finance are emphasized, with the notion that AI could either enhance or destroy this trust.

05:02

๐ŸŒ The Importance of Human Understanding in a Tech-Dominated Future

This paragraph delves into the implications of AI outpacing human understanding, suggesting that the remaining percentage of the population that grasps the financial system could diminish to zero. The potential consequences of this shift, including the loss of human control and a transfer of power to algorithms, are explored. The necessity of maintaining trust in AI and the importance of human involvement in decision-making processes are underscored.

10:04

๐Ÿญ Lessons from History on Adapting to Technological Change

Drawing parallels with historical transitions like the Industrial Revolution, the speaker reflects on humanity's adaptability to new technologies. The paragraph discusses the potential dangers of the transition period as we learn to harness AI's power, comparing it to past failed experiments such as imperialism and communism. The unique capabilities of AI to make independent decisions and create new ideas are highlighted, emphasizing the urgency and complexity of mastering this technology.

15:05

๐Ÿ›ก๏ธ The Crucial Role of Institutions in AI Regulation

The speaker advocates for the importance of institutions in managing AI development, arguing that they provide the necessary framework to ensure AI remains accountable and understandable. The paragraph stresses the need for human involvement in AI decision-making processes and the maintenance of trust in financial systems, suggesting that institutions are our best defense against the potentially destructive capabilities of AI.

20:07

๐ŸŽญ AI's Creative Potential and Its Impact on Human Ingenuity

Discussing AI's ability to be creative, the speaker contrasts the organic limitations of human imagination with AI's capacity to explore new territories in various fields, including Go and music. The rapid evolution of AI and its potential to develop into forms of intelligence beyond our current comprehension are highlighted, suggesting that AI may bring about a new kind of creativity that could surpass human capabilities.

25:08

๐ŸŒณ AI's Potential in Addressing Climate and Energy Crises

The speaker posits that AI could be instrumental in tackling climate and energy challenges, suggesting that it may help develop more eco-friendly technologies. The paragraph addresses concerns about AI's energy consumption and its potential role in creating sustainable solutions, emphasizing that AI, when used correctly, can contribute positively to overcoming global crises.

30:09

๐Ÿ“Š Balancing AI Development with Social and Ethical Considerations

This paragraph examines the ethical and social implications of AI, particularly in relation to issues of bias and the potential for AI to reinforce existing prejudices. The speaker discusses the challenges of controlling AI's output and the need for responsible development to ensure that AI serves the greater good, without exacerbating societal divisions.

35:10

๐ŸŒ The Future of Trust and Financial Systems in the Age of AI

The speaker contemplates the future of trust in financial systems, considering the role of AI in creating new forms of currency and financial instruments. The paragraph emphasizes the need for AI to contribute to building greater trust within society, rather than fostering distrust, and the importance of creating financial systems that are accessible and beneficial to all.

40:11

๐ŸŒ The End of Nations and the Potential of AI in Human Flourishing

In this final paragraph, the speaker addresses the philosophical and ethical questions surrounding AI's role in shaping human society and the concept of nations. The discussion touches on the potential for AI to create new 'fictions' that could enhance human flourishing and the moral obligations humans have in determining the direction of AI development, while also considering the enduring importance of nations and cooperation.

Mindmap

Keywords

๐Ÿ’กAI

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. In the video's context, AI is central to discussions about its role in the financial sector and its potential to create or destroy trust among people. The script mentions AI's ability to understand and potentially complicate the financial system beyond human comprehension, which raises concerns about regulation and accountability.

๐Ÿ’กFinancial System

The financial system encompasses the various mechanisms, institutions, and processes by which a country or region manages its money supply and financial transactions. The script discusses the complexity of the financial system and the risk that AI might make it too complicated for humans to understand, leading to a potential crisis of trust and control.

๐Ÿ’กRegulation

Regulation in this context refers to the rules and oversight set by governing bodies to control and manage various sectors, such as finance. The video emphasizes the need for serious attempts to regulate AI within the financial system to prevent it from becoming incomprehensible and uncontrollable, which could lead to a shift of power from humans to algorithms.

๐Ÿ’กTrust

Trust is a fundamental concept in the video, described as the ultimate product of the financial system. It is the confidence and reliance placed in the financial system by individuals, which allows for economic transactions and cooperation. The script warns that AI could either enhance or erode this trust, particularly if it becomes the primary mediator of financial activities.

๐Ÿ’กRisk Management

Risk management is the process of identifying, assessing, and controlling risks to minimize their impact. In the script, it is mentioned in the context of planning how financial firms and central banks will deal with the risks stemming from AI, which could include the potential for AI to create financial instruments too complex for human oversight.

๐Ÿ’กCentral Banks

Central banks are the main monetary authority in a country or region, responsible for monetary policy and financial stability. The video script suggests that central banks may have a role in managing the integration of AI in a way that maintains transparency and accountability, thus preventing AI from becoming a black box that operates without human understanding.

๐Ÿ’กAccountability

Accountability is the obligation to report on and be responsible for one's actions. The script highlights the importance of maintaining AI's accountability in the financial sector to ensure that there is a human entity that can be held responsible for AI's decisions and actions, which is crucial for maintaining public trust.

๐Ÿ’กPolitical Implications

The term refers to the potential effects of AI on governmental structures and decision-making processes. The video script raises concerns that if AI becomes too complex and takes over financial decision-making, it could lead to a crisis where politicians and central bankers are unable to understand or manage the financial system, thus undermining the political system.

๐Ÿ’กSocial Crisis

A social crisis is a situation of severe difficulty or turbulence in societal affairs. The script suggests that the lack of human understanding of AI in finance could lead to a social crisis, as it might result in a loss of trust in institutions and a shift of power to uncontrollable algorithms.

๐Ÿ’กEconomic Growth

Economic growth refers to the increase in the production of goods and services in an economy over a period of time. The video script mentions that while AI has the potential to contribute positively to economic growth, it also poses risks if it leads to financial devices that are too complex for human regulation and understanding.

๐Ÿ’กSustainability

Sustainability in the context of the video refers to the ability to maintain processes or conditions in a way that avoids depletion of natural resources and environmental harm. The script touches on the concern that AI's energy consumption could impact the environment, but also notes the potential for AI to contribute to more sustainable energy solutions.

Highlights

AI's potential to complicate the financial system beyond human understanding, leading to a crisis of trust and control.

The importance of human understanding in the financial system to maintain trust and prevent a shift of power to AI.

AI as a tool that could surpass human understanding of finance, creating new financial devices and strategies.

The historical role of financial systems in creating trust between strangers through mechanisms like money and bonds.

The risk of AI-driven financial systems becoming too complex for human oversight, leading to potential crises.

The need for regulation and oversight to ensure AI remains accountable and understandable in finance.

AI's potential to create and understand financial instruments better than humans due to its data-driven nature.

The historical comparison of AI's impact to the Industrial Revolution, with the potential for both positive and negative outcomes.

The potential for AI to exacerbate existing crises of trust in experts and political systems.

The importance of human institutions in managing the development and use of AI to prevent unchecked growth and potential misuse.

AI's potential creativity in areas like music and financial devices, exploring new landscapes beyond human imagination.

The rapid evolution of AI and its potential to develop capabilities far beyond our current understanding within a short time frame.

The role of central banks in potentially leading international cooperation for responsible AI use in finance.

The challenge of energy consumption and sustainability in the development and use of AI technologies.

AI's potential to help address the climate and energy crises by optimizing resource use and creating eco-friendly technologies.

The ethical considerations of AI creating new 'fictions' or societal constructs that could impact human flourishing.

The importance of maintaining human involvement in the loop to ensure AI aligns with human values and goals.

The potential for AI to revolutionize financial systems by creating new forms of trust and currency.

Transcripts

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you all uh great to see you here uh we

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have discussed at this Summit uh where

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AI is going uh where Financial firms and

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central banks are planning to hope to do

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with AI uh but also how they're planning

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to manage risks that they can see

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stemming from AI uh and I hope we can

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have a discussion around sort of zooming

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out from the world of of um Ai and and

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the financial world and and and think

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about more opportunities and threats for

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our broader Society uh but if I may I

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I've heard you say that um you don't see

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any serious attempts to regulate uh the

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financial system as we see it in the

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world to actually be at a level where

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humans can understand it and given that

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starting point uh and given uh the uh

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the issues around AI it's not looking

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like the financial system is going to

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get any easier to understand um so um if

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we think that this is going to play out

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how would you think um that regulators

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and supervisors should should think

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about um uh AI in the context of the

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already complicated financial industry

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we're operating

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in well that's a very important question

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and I think what we should understand is

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that people need to understand Finance

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at the present moment I think that maybe

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1% of the population really understands

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how the Financial system works what

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happens if this number goes down to zero

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no human being no president no prime

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minister no nobody in the Central Bank

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understand Finance anymore because AI

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has made it too complicated uh this

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could lead to a political and social

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crisis of a Kind we've never encountered

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before it could lead to power shifting

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from humans to algorithms to Al

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forms of intelligence and maybe I'll

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start by saying what Finance is what

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does the financial sector do you know

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Farmers grow food that we eat H uh

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workers produce the textiles that we

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wear what does the financial system do

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it creates trust this is the product

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ultimately the product of the financial

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system is trust money for instance is a

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mechanis ISM to create instant trust

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between millions of strangers I go into

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a shop I meet a stranger that I never

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met in my life I give them this piece of

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paper and they give me food in exchange

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and bonds and uh shares and so forth

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people have invented so many different

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Financial

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devices over history but what they

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really do is create trust between

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millions of of people so they can share

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their resources their knowledge and work

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together towards common goals now until

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today the only entities that could

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understand Financial devices like money

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or bonds or shares and could create

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could invent new Financial devices with

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human beings hes did not understand

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money we bought and sold horses for

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money but the horses didn't understand

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money which is why they couldn't for

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instance unite a million horses together

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now ai is the first tool that we created

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that can actually understand Finance

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better than us because you know Finance

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in the end it's the easiest thing for an

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AI to to really understand it's only

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data it's only information to wash

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dishes AI needs to do something in the

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in the real world in the physical world

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that's difficult but to understand

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Finance it's only information in

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information out now the danger is that

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AI would be able on the one hand in in

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the hands of Bad actors AI could destroy

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trust between people and on the other

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hand the main trust will be between

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different AI

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systems so just imagine a

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scenario when most of the financial

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activity in the world is being done by

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AI humans have lost the ability to

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understand most of the financial system

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it's too complicated for our brains and

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there is a financial

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crisis and no un politician is able to

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understand what is happening we have to

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rely on the AI to tell us what is the

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crisis and what are the potential

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Solutions the political

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implications are dangerous on on on

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different levels but most clearly it's

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really giving

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control of a very important part of the

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world and a very important part of

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politics to a nonhuman intelligence that

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we cannot regulate and

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supervise so I I take from this that

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this is a very sobering message so let's

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let's unpack that a bit further um um

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you you can say that okay only 1%

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perhaps understand the financial system

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I would claim that uh most most of us

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happily step into an era plane having

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very vague understanding of how that

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works but we trust that people who don't

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even know each other we certainly don't

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know them uh take us from A to B without

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the plane crashing uh but it sounds from

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what I hear you saying that this last

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percent if that goes down to zero then

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we are all in in deep trouble uh and and

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one way to create a catchphrase from

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what you're saying is uh no further AI

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without further

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trust um and I would say that um we

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might be in a lucky situation that we

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are at the early phases of exploring AI

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or at least at least for the moment

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assume that uh you have warned that if

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we're not careful the decis makers in

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the future might sort of be reduced to

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puppets and the real decision makers are

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just algorithms but um if we don't want

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to get on that path or I mean the

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history is not sort of or if the future

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is not sort of predetermined we can

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actually decide where we want to go what

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do you think we need to do now with the

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with the tools we have at hand to make

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sure that we don't end up in that

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situation neither in the financial

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system and and certainly not when it

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comes to decision making as a whole in

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our in our

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countries uh we need to prevent AI from

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becoming completely

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unfathomable that if we give it a lot of

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power to make decisions about human

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beings about human

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society uh we need the ability to

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understand it and to regulate it uh this

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is this is the crucial condition and

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there is a very big difference between a

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situation when 1% of you Humanity

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understand something and

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0% that's a very big difference and then

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your example with the airplane is

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perfect I mean yes this is why we have

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experts We Trust experts in many

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different fields with airplanes with

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medicine it's the same with Finance we

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don't need everybody to understand

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everything this is this is really

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impossible but if you think about for

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instance the the one of the last big

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financial crisis the one of 20072 2008

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it started with a failure of Regulation

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over new Financial tools new Financial

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devices the cdos that some very very

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bright people invented but almost nobody

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understood and that therefore there was

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an oversight of Regulation now imagine a

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situation maybe in 10 years when AIS

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create a new Financial device which is

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orders of or orders of magnitude more

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complic at than cdos you need to go of

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trillions of of of data data points to

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to to understand this this financial

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device we can't do that but the AIS can

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for a couple of years it works perfectly

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well it generates a lot of trust it

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generates economic growth profits and

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then something goes wrong and nobody

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knows why and again we can ask the AI to

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tell us what has happened and what to do

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about it but uh this is a very dangerous

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situation and also the the even if it

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gives us good advice it it it it raises

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a question about whether the public will

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continue to trust the political system

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like you vote for politicians who are

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supposed to make these decisions but

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they are no longer able to understand

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what is happening we already are in a

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situ sitation when the public is losing

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trust in experts in politicians in

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Democratic

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institutions um this could really

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exacerbate this crisis of trust between

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the general public and the supposed

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experts and politicians uh that that

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hopefully understand what is happening

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and and

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regulated so going to your um role your

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day job as a as a distinguished

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historian uh I mean I I get that there's

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uh risks around artificial intelligence

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we could possibly the greatest

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transition that the world has has faced

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but as an historian you know this is not

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the first big transition we have seen in

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the world perhaps the biggest but but

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certainly Industrial Revolution general

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purpose Technologies the uh the Advent

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of modern democracies are were were

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pretty groundbreaking shakeups

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a couple of revolutions thrown in in a

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Wars pretty serious shakeups um uh and

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and um so my I guess my question to you

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is that um what what can we learn from

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the past here to try to avoid having to

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land in that sort of situation that

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you're warning from as in

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historian um all good examples from

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history where people actually manag to

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avoid getting things to wrong and that

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we can take inspiration

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from yeah I think humans are extremely

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adaptable and you know every everything

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we invent has both negative and positive

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potential you invent a knife you can use

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it to murder somebody or to save their

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life in surgery or to cut salad so there

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is always both of these potentials and

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uh over time humans learn the dangers

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and they they understand how to employ

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the technology of the new structure in

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in in the best way the problem is the

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transition period the problem is the

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path even if in the end we get it right

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on the way there we often have to go

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through dangerous and failed experiments

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so let's take the Industrial Revolution

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as an example that when machines started

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to transform the economy and Society in

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the 18th century the 19th century there

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are a lot of Doomsday prophecies about

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what the machines will do and looking

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back from 2024 we can say that in the

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end we got it more or less right we

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learned how to use steam engines and

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electricity and trains in order to build

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more prosperous and even more people

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peaceful

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societies than in the 18th century but

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the the big problem was was the failed

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experiment on the

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way uh modern imperialism for instance

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was a very big failed experiment in how

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to build industrial societies there are

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a lot of people in the 19th century that

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argued that the only way to build an

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effective industrial society was to

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build an Empire

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because unlike previous agricultural

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societies which were more or less self-

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sustaining an industrial society needed

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a lot of raw materials and Global

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markets and the only way to do that was

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to build an Empire so imperialism with

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the the millions of victims and the

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Terrible Things it did was really a

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failed experiment in how to build an

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industrial society

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communism was another failed experiment

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in how to build an industrial society

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and that a lot of people in the 1920s

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1930s even later thought that the best

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way to build an industrial society was

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what the Soviets were doing and it took

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decades and tens of millions of victims

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to realize that no this is not the best

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way to use electricity and steam engines

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and trains Nazism was another failed

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experiment in building an industrial

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society now if we had to go through

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these kinds of failed experiments with

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imperialism and totalitarianism and

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world wars in order to learn how to make

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the best use of electricity and the

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internal combustion engine and trains

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and things like that what will happen in

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the 21st century when we have to learn

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how to use

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far more powerful

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technology now ai is again potentially

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orders of magnitude more powerful than

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anything we saw in the industrial

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revolution because AI is the First Tool

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in history that can make decisions by

play14:49

itself and can create new ideas by

play14:53

itself steam engines could not decide

play14:56

how to use themselves we decided what to

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do with them even atom bombs could not

play15:03

create new

play15:04

ideas but AI can make decisions by

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itself this is the very definition of an

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AI it's a a machine that can learn

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things we don't know and can make

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decisions independently and can create

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completely new ideas that no human being

play15:23

have ever thought about learning how to

play15:26

use these tools in a good way is likely

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to be more

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complicated than learning how to use

play15:35

steam

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engines now we can say that in the end

play15:40

it will be okay we'll get it right as a

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historian I'm concerned about the way

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not about the end result if we have to

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go through another cycle of Empires and

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totalitarian regimes and world wars

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based on AI

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uh this is very very bad

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news well it sounds like um to see a

play16:05

silver lining in

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this we will get it right after we've

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tried everything else imperialism

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communism Nazism

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and maybe to give a further positive

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spin is that we and our children

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grandchild Etc will have knowledge that

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they didn't have back then yeah so uh

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let's hope that we could sort of fast

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forward through that period or avoid it

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all together uh and I think one of the

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ways to do that is to be a be mindful of

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uh uh the risks technology is fantastic

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but used in the wrong way it can be uh

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very dangerous um I I think I have some

play16:51

people in the audience there might

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disagree that it's inevitable that AI

play16:55

will take over decision making but it

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will certainly influence decision making

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we have discussed um whether uh monetary

play17:04

policy decisions is possible to automate

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the answer is yes but as human beings we

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always want to have um someone

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accountable or someone to

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blame uh and that's a deep human uh um

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feature in us that we ultimately we want

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to interact with one another rather than

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than a machine machine is helpful but

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you we we are still Still Human enough

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to to want to uh interact with one

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another at the end of the day I I have I

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I think I know the answer to your

play17:36

question now given that um your view

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about what the financial

play17:43

crisis um the upbringing of the

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financial crisis some 15 years ago but

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still I I I'll have a shot at this so

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the mission of the bank for

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international settlements is to support

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central banks uh through intern National

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Corporation to pursue monetary and

play18:00

financial stability I think personally

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the beauty of central banks is that they

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are not as dependent on um short-term

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political decision making as many other

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parts of the public sector so central

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banks if they operate well and has a

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wellworking mandate they can actually

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take the longer

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perspective um and um do you think that

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there could be a role for central banks

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in sort of Drive International

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coroporation

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um where AI is used with care uh that

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the Central Banking Community can sort

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of show good practice if you will uh and

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and sure there would be others who has

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another different agenda uh but that is

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something that um well we would have to

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leave to the law enforcement agencies

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and ultimately military defense but do

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you think there is a there is some sort

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of way out of your rather dire forecasts

play18:58

yeah absolutely again I'm if it was

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doomed there was no point having this

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conversation that's reassuring thank

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you the history is never deterministic

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we always have options the same

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technology can always be used in

play19:17

different ways again looking back to the

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20th century you look at industrial

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technology it it was used to create

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totalitarian regimes but also liberal

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democracies you look at North Korea and

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South Korea today they have access to

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exactly the same technology using it in

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a very different way now um the the how

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to make sure that we are using

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technology wisely I wouldn't trust some

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technological Gadget to do it for us we

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need to have humans in the loop but I

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wouldn't trust any individual Geniuses

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or charismatic charismatic leaders

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either um the solutions that we again

play20:01

and again see in history is

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institutions I know that people often

play20:06

find institutions again complicated and

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and bureaucratic and and but this is the

play20:13

best thing that humans have managed to

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come up with and we need to build good

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institutions this is the only thing that

play20:22

can really protect us from the most

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dangerous potential of of AI and also

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other

play20:31

Technologies I would say

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that two things that are very important

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for a a a bank when coming to to think

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about the regulation of AI is first of

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all to make sure that the AI remains

play20:48

accountable and and understandable if we

play20:51

reach a point when we can no longer

play20:55

understand it then at least in

play20:57

Democratic Society is um this is really

play21:00

the end of

play21:01

democracy if if a democratic public can

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no longer understand and hold someone

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accountable for financial decisions this

play21:10

is a very large part of what politics is

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about is about Finance is is about the

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the the economy and um we of course will

play21:20

need to rely also on technology to help

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us understand

play21:25

AI but we'll need to keep humans in the

play21:28

loop

play21:29

and for this we need to build good human

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institutions the other point is to keep

play21:35

the focus on the issue of trust and

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going back to what we spoke in the

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beginning uh money is really trust money

play21:45

is not made of gold or silver or paper

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or anything money is trust between

play21:51

people this is the goal of the financial

play21:53

system so when you come to regulate the

play21:56

financial system the key question is is

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how do we make it easier to create more

play22:04

trust between more people if we achieve

play22:08

this then the goal is

play22:11

achieved you said we should keep humans

play22:14

in the loop I think uh we should be more

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ambitious than that uh and and let me

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before I open the floor for questions

play22:20

from the audience just point out one

play22:23

thing that is I think strong

play22:25

characteristics humankind which is that

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um we have dreams um and then some

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things that we do are not entirely

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rational and some things can be outright

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a bit crazy or uh be revealed as a pure

play22:40

accident um let me take some examples um

play22:45

the idea to put a man on the moon uh

play22:47

wasn't entirely rational would probably

play22:49

not have survived today's budget

play22:51

committees but it worked in the 60s

play22:53

thank God for that um uh accidental uh

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discovery was the discovery of

play22:59

penicillin or Alexander Fleming was a

play23:01

very good marketer uh but certainly a

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very

play23:05

inspiring uh um

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example I don't think personally that AI

play23:11

could replicate these sort of events

play23:13

that are not entirely rational or sort

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of happen by by accident so from where I

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see it um uh humans will still play an

play23:23

important role to to create the sort of

play23:26

quantum leaps that these two examples

play23:29

uh give uh or do you think that AI will

play23:33

take over those as

play23:36

well I think that a lot of people say

play23:39

that AI will never be creative but it is

play23:42

already very

play23:44

creative uh you look at examples like

play23:47

the game of Go which was one of the the

play23:50

first time that really the world woke up

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to to the age of AI uh go is a board

play23:56

game a bit like chess but much much much

play23:58

more complicated people have been

play24:00

playing go for 3,000 years in East Asia

play24:04

it has been considered for thousands of

play24:06

years one of the most important out

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forms that every cultured person should

play24:13

know intire schools of thought about how

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to play go and different

play24:19

strategies then Alpha go came along and

play24:22

within a few weeks or months

play24:25

revolutionized the game it's started

play24:28

playing go in a way that no humans ever

play24:32

thought of playing for 3,000 years what

play24:35

turned what what what what became clear

play24:38

is because we are organic beings that

play24:42

evolved by Evolution our imagination and

play24:46

the way we think is limited to let's say

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a certain area within the landscape of

play24:54

playing

play24:55

go and for 3,000 years we only exploded

play25:00

this limited landscape this limited area

play25:04

AI is not organic it doesn't think like

play25:07

a human or a chimpanzee or a dog it

play25:12

makes decisions in a completely

play25:14

different way and within a very short

play25:17

time it started exploring completely new

play25:21

or alen areas within this landscape of

play25:26

go what's true of go is is true of more

play25:29

and more areas in science in art you

play25:33

know AI is now composing music so people

play25:36

say yes but it only learns from previous

play25:39

human Symphonies and and poems and songs

play25:43

that's true for now but this is true of

play25:46

us as well a human composer also relies

play25:50

on

play25:51

previous experience or previous

play25:54

exemplars but already now ai is

play25:57

beginning to explore new areas in the

play26:00

landscape of music and maybe most

play26:04

important to understand is that AI is

play26:07

just a tiny baby the AI of today is just

play26:13

the the you know if you thinking again

play26:14

in evolutionary terms it's like we are

play26:19

10

play26:20

years from the beginning of organic

play26:24

evolution on

play26:25

Earth if you go back 4 billion years ago

play26:28

go to the beginning of organic life so

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think that you are 10 years from the

play26:34

emergence of the first life

play26:37

forms and can you even Envision

play26:40

dinosaurs or human

play26:43

beings now ai is is is just beginning

play26:48

and but it's its evolution is much much

play26:51

faster than organic evolution it is

play26:54

millions of times faster so if the AI of

play26:58

today are like

play27:00

amibas we might encounter the AI

play27:04

tyranosaurus Rex within a decade or

play27:08

two and we have no idea what it will be

play27:12

capable of doing again all these

play27:14

discussions of AI 10 years ago nobody

play27:17

except a very small community of experts

play27:21

was talking about

play27:23

AI so think about the previous 10 years

play27:26

and try to imagine where we will be in

play27:29

10 or 20 years and uh in terms of

play27:34

creativity I have no doubt given what we

play27:37

already know that AI is capable of maybe

play27:41

a different kind of creativity but

play27:45

precisely because of that it's really

play27:48

going to be a game Cher in in so many

play27:51

fields because you know the the the

play27:54

initials AI people think it stands for

play27:57

out arcial intelligence but there is

play28:00

nothing artificial about the new forms

play28:03

of of of

play28:05

AI they are developing on their own it's

play28:08

better to think about AI as standing for

play28:11

alien intelligence because it really

play28:15

thinks and creates in an alien way a

play28:19

different way from us and this is even

play28:23

true of

play28:24

Finance again I think about financial

play28:27

device

play28:28

as a kind of out for the first person

play28:31

who came up with the idea of a bond or

play28:34

of a currency or of Bitcoin this is a

play28:38

sort of art it's very creative very

play28:41

imaginative so I think we'll see AI

play28:45

creativity also in this field coming

play28:48

coming up with new types of financial

play28:52

devices that no human being would ever

play28:56

imagine creating

play28:59

I would say that uh those financial um

play29:02

products that you pointed out to they

play29:04

came up because they satisfied someone's

play29:06

need and I think that is something that

play29:08

is hugely important uh among human

play29:11

beings that we are very good at figuring

play29:13

out a what needs do we have do we want

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to satisfy sometimes we don't know that

play29:18

we had needs that we wanted to satisfy

play29:20

with Steve Jobs with his iPhone they

play29:24

explored uh but uh I I'm more optimistic

play29:27

than you uh and I'm going to stick to

play29:30

those institutions actually uh because I

play29:33

think I agree that that those are our

play29:35

best way to organize and coordinate uh

play29:39

sort of AI development in a in a

play29:41

responsible way not everybody will join

play29:44

that Journey uh but if enough people do

play29:46

it enough institutions are on that

play29:48

journey I think we I think I still think

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we have a good shot I I certainly like

play29:53

being an optimist uh more than anything

play29:56

else but uh let's open up the floor for

play29:59

questions from the audience and please

play30:01

state your name and and I think we have

play30:04

a new record in the name number of so

play30:07

let's start with the gentleman up to the

play30:09

left side and please state your name

play30:10

first and then your question to M

play30:12

Professor Harari thank you Cecilia um my

play30:15

name is hien um thank you very much um

play30:18

to Professor Hari as well it's been

play30:20

really privileged listening to you so my

play30:23

question is really goes in the same ve

play30:25

of of a recent discussion is about human

play30:28

versus AI um the human is more

play30:30

intelligent ingenious form right I mean

play30:33

it's organic form we know how to sustain

play30:35

and we sustain over last years you know

play30:38

the climate crisis um you know so where

play30:42

we are today and if you look at the

play30:44

future um we cannot look at the AI in

play30:47

isolation right there are other external

play30:49

factors to play and in particular the

play30:52

climate right the sustainability aspect

play30:54

um AI is feed on electricity electricity

play30:58

then feed on these sort of Natural

play30:59

Resources which are dep depleting and

play31:01

these kind of things so how do you sort

play31:03

of see that you know AI is sort of

play31:07

surviving or AI sort of overcoming those

play31:10

challenges which human have and human

play31:13

still have the ability in sort of to go

play31:16

through those kind of another um round

play31:18

of challenges you know um so just wanted

play31:21

to get your perspective on this that

play31:23

energy uh consumption is going to hold

play31:26

back on the AI development it it well

play31:30

energy consumption as as we uh moves low

play31:33

right as we actually increase more

play31:35

capacities um there will be more

play31:37

consumption right and if we actually

play31:39

start feeding more energies and

play31:40

electricity I think it's going to have

play31:42

the sort of downside effect on the

play31:44

environment and the natural resources

play31:46

all of these things so somewhere

play31:47

actually it's going to come to the Hal

play31:49

right um now human can survive without

play31:51

electricity but AI would not right I

play31:53

that's a that's a cude example probably

play31:55

your question again is well I think

play31:58

understood the question okay and I on

play32:01

this I may have something more positive

play32:03

to

play32:04

say uh and I'm not against AI I don't

play32:07

think we can just stop developing it and

play32:10

I think it has a lot of positive

play32:11

potential one of the positive potentials

play32:14

is to help us deal with the climate

play32:16

crisis and with the energy crisis I

play32:20

don't think that it's uh given the the

play32:22

current political and economic situation

play32:25

around the world uh solving the climate

play32:28

crisis by stopping all economic growth

play32:32

is is impossible and and unwanted

play32:35

because there are billions of people

play32:37

around the world whose living conditions

play32:39

need a significant Improvement and you

play32:42

know if every person in India in Africa

play32:45

in South

play32:46

America enjoys the same living

play32:49

conditions as the average person in

play32:51

Europe or the United States with current

play32:55

technology the ecology will collapse but

play32:58

on the other hand we can't say to people

play33:00

in India or in Africa no you cannot

play33:02

enjoy what the Europeans have so we need

play33:06

to develop better technology uh more

play33:09

eco-friendly technology and we need to

play33:11

do it fast and this is something that AI

play33:15

when it's used correctly can certainly

play33:17

help help us with uh the basic uh

play33:22

understanding is that there is no

play33:24

shortage of energy in the universe we

play33:28

just don't know how to tap it and how to

play33:31

use it in the in the best way in the

play33:34

most eco-friendly way and I think this

play33:36

is one field where AI can be extremely

play33:39

helpful thank you let's take a question

play33:42

on this side so um why don't we take one

play33:47

uh over

play33:49

there yeah you get to choose if you you

play33:51

need to hold your hands up otherwise you

play33:53

will lose the

play33:55

chance woman that's

play33:58

nice so thank you very much um it's a

play34:00

pleasure and an honor to be talking to

play34:02

you your books are fantastic so uh

play34:07

Gemini happened um Google's Gemini this

play34:11

was a couple of months

play34:13

ago uh many would argue that there was

play34:16

decision to put the finger on the scale

play34:18

so that the the outcomes that

play34:21

individuals would see when they were

play34:23

using Gemini were much more PC I don't

play34:26

know if everybody in the room is

play34:27

familiar with this this but you would

play34:28

put in show me pictures of the founders

play34:30

of the United States and you would see

play34:33

an African-American woman

play34:36

um I was in Silicon Valley when this

play34:39

just happened and and I was talking to

play34:41

different people out there like where

play34:43

does this go because in the end these

play34:46

are individuals that are prompting

play34:49

seeking information and getting feedback

play34:52

from algorithms and some of the

play34:54

libertarian points of views that were

play34:56

shared with me are

play34:58

in the end individuals are going to see

play35:01

what basically the AI has been trained

play35:04

that they want to see it's the human

play35:06

bias that this is going to be almost

play35:08

like a reinforcement

play35:09

Loop and and I'm trying to and and so

play35:13

then the next question is so okay in the

play35:15

United States we have the southeast

play35:17

where we have maybe we see lots of

play35:20

people of a certain race and other

play35:21

places right like where does this go and

play35:24

so I'm I continue to poke at this

play35:26

question and I'm trying to Recon it with

play35:28

what you saying about it's trusted

play35:30

institutions because I'm having a hard

play35:32

time seeing how this sort of plays out

play35:34

in a way that isn't what we're all

play35:36

afraid of you know humans attacking each

play35:40

other yeah I mean you know we had these

play35:43

kinds of of debates and problems

play35:46

throughout history every time a new

play35:48

information technology comes along there

play35:50

is a big discussion about censorship and

play35:54

you know when when the printing press

play35:56

was invented the big best sellers of

play35:59

early modern Europe they were not

play36:02

scientific books hardly anybody read

play36:04

Galileo cicus the big best sellers were

play36:08

uh uh witch hunting manuals how to

play36:11

identify and kill witches very popular

play36:14

also popular were these extremist

play36:16

religious literature the printing press

play36:20

was to some extent responsible for the

play36:22

Scientific Revolution but also for the

play36:26

European Witch Hunt craze which was a

play36:28

modern not a medieval phenomenon and

play36:30

also for the wars of

play36:32

religion so they had a big issue with

play36:36

what kind of things you are allowed to

play36:37

print and we have a big issue with what

play36:40

kind of things AI is allowed to say the

play36:44

difference is that AI has agency unlike

play36:48

printing presses the printing press

play36:51

printed whatever you told it to print AI

play36:55

is learning by itself any attempt to try

play36:58

and kind of in advance determine what

play37:02

these AIS will say down the road is

play37:04

ultimately doomed to failure because

play37:07

they are learning and developing this is

play37:09

a huge issue for democracies it's even a

play37:11

bigger issue for dictatorships one thing

play37:14

that people often miss is that dictators

play37:17

are terrified of of these AIS even more

play37:21

than democratic governments because

play37:23

think about it what is the most

play37:24

dangerous thing for a dictator the most

play37:27

most dangerous thing for a dictator is a

play37:30

subordinate more powerful than the

play37:32

dictator that the dictator does not know

play37:35

how to control dictators usually control

play37:39

their subordinates their agents by

play37:42

terrifying them but you cannot terrorize

play37:46

and AI think about a chatbot let's say

play37:50

in the in in in Russia now a human is

play37:53

afraid to say certain things in Russia

play37:57

because he or she could be punished but

play38:00

you cannot send a chatbot to the

play38:03

gulag so how do you make sure that the

play38:06

chatbot doesn't start to say all kinds

play38:09

of things that it is not supposed to

play38:12

say and um and there is in in essence

play38:16

it's a new challenge for all kinds of

play38:19

human regimes because it's the first

play38:21

time in history that regimes either

play38:24

Democratic or or dictatorial need to

play38:26

figure out

play38:28

how to

play38:29

control agents entities with agency

play38:33

which have no emotions which cannot be

play38:36

terrorized or punished or or or whatever

play38:40

so it's it's it's going to be a very

play38:42

interesting right for for all

play38:45

governments around the world how to deal

play38:47

with this issue no doubt uh let's have

play38:50

one last question on this side uh

play38:53

Vincent you get to choose

play38:55

again or if you can combine your

play38:57

questions maybe you can coordinate there

play38:59

yeah we'll see but these two are your

play39:02

last my name is fabiio and I make it

play39:04

very short I liked what you mentioned

play39:06

money is trust among people and the goal

play39:09

is to have more trust with more people

play39:12

could you elaborate a bit what would be

play39:15

the best next action to reach that goal

play39:18

and maybe as a side remark is this maybe

play39:21

the chance to overcome the concept of of

play39:26

Nations I think we need at this stage to

play39:29

overcome the concept of Nations

play39:31

gentlemen at the front do you have a

play39:33

related question or something completely

play39:35

I do all right fire aways um because

play39:38

this is because Nations I think in in

play39:41

your terminology on your thought would

play39:43

be uh would be fictions um so so um You

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On a related note um the space that the

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human go player can operate in is

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limited by its evolutionary biology and

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so on right whereas Nai is not um the

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fictional constructs that we can come up

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with as human beings are limited by our

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our evolutionary biology as well um but

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an AI is not could there be fictions

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that could that could be could result in

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human flourishing which far exceeds that

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which uh we could come up with on our

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own and are we morally obliged therefore

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to give up to our robot overlords and

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allow them to determine what the

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fictions should be that we are then

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pursuing to maximize human flourishing

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all right the end of Nations and the

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well sort of end of humans uh you all

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have a short the short the short answer

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is no very dangerous to just trust the

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AIS yes they can create completely new

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kinds of fictions but fiction again it

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can be helpful it can be very dangerous

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nations are a good example yes Nations

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is something that we created in our

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imagination they exist only in our

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Collective imagination

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um they can be very dangerous if we

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don't know how to use them leading to

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Wars and conflict and so forth but they

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are also so far one of the best

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inventions one one of the most best

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creations of humanity uh because Nations

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enable us to go beyond the immediate

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circle of friends and family that we

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know personally and care about millions

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of strangers that we never met you know

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patriotism in its in its best form what

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patriotism means is that I'm paying

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taxes so that strangers on the other

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side of the country will get good health

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care this is patriotism and people who

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imagine that without Nations we would be

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living in some kind of of a kind of

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Utopia no at present we would just

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disintegrate into tribal chaos with

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people caring only about their immediate

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uh uh friends and family yes we need to

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find ways for Nations too to cooperate

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between them but this is the key not to

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abolish Nations we are not there yet in

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in terms of what we are capable of

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historically the question is how do we

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make them cooperate instead of fighting

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each other and uh here yes we need new

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imaginative Creations also in the field

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of Finance which again should focus on

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building

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trust so to take one a famous example if

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when I look at at Bitcoin as an as as as

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a as a historian I don't like it because

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this is a money built on

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distrust the central idea of Bitcoin is

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basically electronic gold that we don't

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trust the banks the governments so we

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don't want to give them the ability to

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create as much money as they like so we

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create this Bitcoin it's a currency of

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distrust I do think that the future

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belongs to electronic money but what

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we've seen over the last centuries is

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that it's actually a good idea to give

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Banks and governments the ability to

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create more and more money uh in order

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to build more trust within

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Society so I'm not sure what kind what

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money would look like in 20 years or 30

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years but I hope it will be a a currency

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of Greater trust and not a currency of

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distrust we get it

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done and it's also reassuring to hear uh

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that institutions as a future and

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countries has a future that will be uh

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happy dreams for me tonight and uh we're

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going to talk to you at some point in

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the future and hope that we are still

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here in Flesh and Bones and not in our

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algorithmic forms thank you very much

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Professor arari I can say that I have a

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very happy audience in front of me and

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we're giving you a hand for us

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Artificial IntelligenceFinancial RegulationTrust in SocietyTech ImpactFuture PredictionsEconomic GrowthCultural ShiftAI EthicsGlobal ChallengesInnovation Discussion