GEF Madrid 2024: AI and Critical Thinking

Global Education Forum
8 May 202441:55

Summary

TLDRThe panel discussion explores the intersection of AI and critical thinking, with a focus on ethical dilemmas and decision-making. Professor Richard Light initiates the conversation with a thought experiment about kidney transplants, highlighting the complexity of ethical judgments. Panelists from diverse educational backgrounds emphasize the importance of teaching discernment and critical analysis in the age of AI, discussing the potential of AI as both an educational tool and a challenge to traditional learning methods.

Takeaways

  • πŸ“š The panel discussion revolves around the intersection of AI and critical thinking, with a focus on how AI can augment or challenge human decision-making and ethical considerations.
  • πŸ’‘ Professor Richard Light introduces the topic by emphasizing the need for a clear definition of critical thinking and its importance in making decisions, particularly in complex ethical dilemmas like the kidney transplant scenario.
  • πŸ” The conversation explores the potential of AI to provide arguments and counterarguments, highlighting the machine's capability to process information quickly but also the importance of human discernment in evaluating these arguments.
  • 🌐 Patrick Girma from Ghana discusses the challenges of integrating AI into an educational system traditionally based on rote learning, stressing the need to foster critical thinking from an early age to navigate the information provided by AI.
  • 🌟 Ben Nelson emphasizes that critical thinking is not a singular concept but a collection of skills, including decision-making, evaluating claims, and understanding implications, which are crucial in the age of AI.
  • πŸ€– Dan Levy points out the dual nature of AI as both an assistant in critical thinking and a potential tool for students to bypass actual thinking, underscoring the importance of how AI is used in education.
  • πŸ› Mark Kaban discusses the role of AI in education transformation, suggesting that it can enable new teaching methodologies focused on the learning process rather than just the outcome, fostering durable skills like critical thinking.
  • 🌱 Jeppe Ugelvig expresses optimism about the future of AI in education, envisioning a blend of human judgment and AI-enabled analysis in decision-making and a transformation in how critical thinking skills are taught.
  • πŸ”‘ The panelists agree that the value of critical thinking is heightened in the context of AI, as it becomes more important to teach frameworks for thinking, such as cost-benefit analysis and the Golden Rule, to guide the use of technology ethically and effectively.
  • 🌱 There is a call to action for educators to guide students in learning how to think about the world critically, using AI as a tool to gather diverse viewpoints and information, while maintaining human-centric values and ethical considerations.
  • 🌟 The discussion concludes with a consensus on the inevitability of AI's role in enhancing critical thinking, with a focus on the importance of human intent and ethical frameworks in shaping how technology is used for the betterment of society.

Q & A

  • What is the significance of Emily's presence and recording in the session?

    -Emily's presence is significant as she is recording the session to provide an output in a few weeks, which is expected to offer valuable insights or analysis based on the discussion, adding an additional layer of reflection and commentary on the topics covered.

  • What is Patrick's role at the university he founded in Ghana?

    -Patrick is in charge of the university he founded in Ghana, implying that he holds a leadership or administrative position, likely overseeing the institution's operations and academic direction.

  • How does Professor Richard Light define critical thinking?

    -Professor Richard Light defines critical thinking as the process needed when making decisions, whether personal or societal policy decisions, and emphasizes the importance of having enough information to make a thoughtful and constructive choice.

  • What is the ethical dilemma presented by Professor Richard Light involving kidney transplants?

    -The ethical dilemma involves a scenario where Professor Light, in need of a kidney transplant, offers to pay $100,000 to a healthy individual willing to donate a kidney. The dilemma raises questions about the ethics of paying for organs and the potential inequities it creates.

  • What was the outcome of the vote among Harvard graduate students regarding the kidney transplant ethical dilemma?

    -60% of the Harvard graduate students voted that the agreement between Professor Light and the kidney donor was good and ethical, as both parties benefited and consented voluntarily. The remaining 40% agreed with the medical ethicist's view that the transaction was inequitable.

  • How does Ben define critical thinking and its components?

    -Ben describes critical thinking as not a single entity but a collection of disparate elements, including decision-making, trade-offs, evaluating claims, and understanding when and how to apply various analytical methods such as cost-benefit analysis.

  • What is the potential role of AI in fostering critical thinking skills according to Dan Levy?

    -Dan Levy suggests that AI can be a powerful tool in fostering critical thinking skills by providing arguments and counterarguments, thus assisting in the analytical process. However, he also acknowledges the potential negative impact if AI is used to do work for students without engaging their critical thinking.

  • What does Mark Kaban suggest about the role of AI in the process of teaching and learning?

    -Mark Kaban suggests that AI can be used as a tool in teaching and learning to develop durable skills that sum up to critical thinking. He emphasizes the importance of using AI to enhance the learning process, focusing on how learning unfolds and the moments of engagement in the process.

  • How does the panel discuss the potential of AI in the context of different educational systems?

    -The panel discusses the potential of AI in various contexts, such as Patrick's mention of the need to move away from rote learning in Ghana and towards critical thinking, and Ben's point about the importance of discernment in an age of AI, where compelling arguments can be quickly generated by AI.

  • What is the panel's consensus on the relationship between AI and critical thinking?

    -The panel consensus is that AI is a tool that can be used to enhance or detract from critical thinking, depending on how it is utilized. There is a call for responsible integration of AI in education to foster critical thinking skills and for students to engage with AI as a tool for analysis and decision-making.

Outlines

00:00

🎀 Introduction to Panel and Discussion on AI and Critical Thinking

The panel begins with an introduction to the esteemed guests and speakers, including Patrick from Ghana, Jee, B Nelson, Dan Levy, Mark Kaban, and Professor Richard Light from Harvard. The moderator expresses excitement about Emily's future input and outlines the panel's focus on the connection between AI and critical thinking. Professor Richard Light starts the discussion by defining critical thinking and its importance in decision-making, providing two real-world examples to stimulate thought on the topic.

05:01

πŸ€” Ethical Dilemma: The Case of the Kidney Transplant

Professor Light presents an ethical dilemma involving a kidney transplant to illustrate critical thinking. He describes a scenario where he, as a patient in need of a kidney, is offered a transplant by a financially motivated donor. The example is used to explore the complexities of ethics, personal choice, and societal values, leading to a discussion among Harvard students with varied opinions on the matter.

10:01

🧠 Critical Thinking and the Role of AI in Education

Patrick from Ghana discusses the importance of critical thinking in education and the challenges it faces with the advent of AI. He emphasizes the need to move away from rote learning and to foster critical thinking from an early age. Patrick also touches on the necessity for students to discern truth from falsehood, especially in the context of AI-generated content.

15:03

πŸ€– AI as an Assistant in Critical Thinking Development

Dan Levy explores the concept of critical thinking, arguing that it is not a singular entity but a collection of skills, including decision-making and evaluating claims. He suggests that AI can be an effective tool in developing these skills, providing arguments and counterargumentsθΏ…ι€Ÿ, and helping students understand broader implications and consequences.

20:05

πŸ›οΈ The Integration of AI in Policy and Education

The conversation shifts to the integration of AI in policy-making and education. The speakers discuss the potential of AI to assist in critical thinking and the importance of using it responsibly to avoid undermining human cognitive development. They emphasize the role of educators in guiding students towards good critical thinking practices with AI as a tool.

25:07

🌐 AI's Impact on Higher Education and Teaching Methodologies

Mark Kaban discusses the impact of AI on higher education, suggesting that it can be used to enhance teaching and learning by focusing on the process rather than the output. He talks about the potential for AI to support the development of durable skills that are fundamental to critical thinking and the need for institutional coordination in implementing AI effectively.

30:08

πŸ“š Critical Thinking in Education: Reinforcing or Transforming?

The panelist, as a knowledge officer, reflects on the role of education in reinforcing existing systems or transforming them. They discuss the potential of AI to automate certain educational tasks, which could either support traditional models of education or be leveraged to foster critical thinking and freedom in learning.

35:09

πŸ₯ Public Health Decision-Making and the Value of Information

Richard returns to the conversation with an example of a public health director faced with the decision to approve a new medication based on limited trials. This example is used to highlight the importance of critical thinking in evaluating the sufficiency of information and the potential consequences of decisions.

40:10

πŸ”„ Final Thoughts on AI, Critical Thinking, and Education

In the closing remarks, the panelists reflect on the discussion, emphasizing the importance of critical thinking in various contexts and the role of AI as a tool to augment human judgment. They express optimism about the future of education and the development of critical thinking skills in an AI-assisted environment.

Mindmap

Keywords

πŸ’‘Critical Thinking

Critical thinking is the ability to analyze and evaluate information objectively to form a judgment. In the video's context, it is central to discussions on decision-making and ethical dilemmas. For instance, Professor Richard Light uses the concept to explore the ethical implications of paying for a kidney transplant, illustrating how critical thinking can lead to diverse perspectives and conclusions.

πŸ’‘Artificial Intelligence (AI)

AI refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. In the video, AI is discussed in relation to its potential to augment or challenge human critical thinking. The panelists explore whether AI can replicate human judgment and decision-making, especially in complex ethical scenarios.

πŸ’‘Ethical Dilemmas

Ethical dilemmas are situations that require difficult decisions often involving moral principles. The script uses the example of a kidney transplant to highlight how critical thinking is necessary to navigate such dilemmas. The dilemma is presented to provoke thought on the ethics of paying for an organ transplant, which divides the panelists and the audience.

πŸ’‘Generative AI

Generative AI is a type of AI that can create new content based on learned patterns. In the video, it is mentioned as a tool that might assist in critical thinking by providing arguments and counterarguments. However, the panelists question whether it can truly replicate the nuanced human ability to weigh ethical considerations.

πŸ’‘Educational System

The educational system refers to the structured approach to learning, which is a focal point in the discussion about instilling critical thinking skills. Patrick Girma from Ghana talks about the need to move away from rote learning to foster critical thinking from primary education through to tertiary levels.

πŸ’‘Rote Learning

Rote learning is a method of learning where information is memorized without necessarily understanding its meaning. It is criticized in the video as an approach that does not encourage critical thinking. Patrick Girma emphasizes the need to shift from rote learning to teaching students how to ask the right questions and make informed decisions.

πŸ’‘Machine Learning

Machine learning is a subset of AI that allows machines to improve at tasks with experience without being explicitly programmed. In the video, it is discussed as a source of information that requires critical evaluation, similar to how one would assess information from a human agent.

πŸ’‘Policymakers

Policymakers are individuals or groups responsible for making decisions that affect entire communities or societies. In the context of the video, the discussion revolves around how to educate policymakers to effectively use AI and maintain critical thinking in their decision-making processes.

πŸ’‘Cognitive Abilities

Cognitive abilities refer to the mental capacities or processes such as memory, learning, and understanding. The video discusses how machines can outperform humans in certain cognitive tasks, yet the importance of human critical thinking in judgment and decision-making remains invaluable.

πŸ’‘Knowledge Officer

A knowledge officer is a professional responsible for overseeing the management and use of knowledge within an organization. In the video, the role of a knowledge officer is highlighted in the context of AI and critical thinking, emphasizing the importance of guiding the integration of AI in a way that supports rather than replaces human judgment.

πŸ’‘Pedagogy

Pedagogy is the method and practice of teaching, and it is a key concept in the video's discussion on how to teach critical thinking. Mark Kaban, as a chief knowledge officer, talks about the potential of AI in transforming pedagogy to focus on the process of learning and developing durable skills.

Highlights

Introduction of Emily, an AI recording the session with output to be given in a few weeks.

Patrick Girma from Ghana discusses the importance of critical thinking in decision-making and ethical dilemmas.

The ethical dilemma of paying for a kidney transplant raises questions about equity and the role of AI in decision support.

The role of AI in providing arguments and counterarguments to complex ethical scenarios.

Dan Levy emphasizes the need for discernment in evaluating AI-generated information.

Mark Kaban discusses the potential of AI to transform education and develop durable skills like critical thinking.

The debate on whether AI is beneficial or detrimental to the development of critical thinking skills.

The importance of teaching frameworks for thinking, such as the Golden Rule, alongside technology use.

Jeppe Christiansen's optimism about the future integration of AI in augmenting human decision-making.

Ben Nelson's perspective on the failure of higher education to teach critical thinking and the opportunity AI presents.

The necessity to move away from rote learning to foster critical thinking from an early educational stage.

The role of AI in the process of teaching and learning to develop critical thinking skills.

The potential of AI to assist in project design and the generation of text in education.

The discussion on how AI can help decide questions where values need to be included in the analysis.

The inevitability of AI's impact on education and the development of critical thinking, according to the panelists.

The panel's consensus on the importance of critical thinking in the context of AI and its potential to shape human intent.

Transcripts

play00:00

with very esteemed guests and

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speakers um just a little announcement

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you heard in one of the sessions before

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that Emily is also present and is

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recording and will give us output in a

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few weeks time so that's very exciting

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so um looking forward to seeing what

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Emily has to say um I'd love to

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introduce you to our speakers um we've

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got Patrick uh gimma from uh Aya from

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Ghana

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uh Patrick has founded a university

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there and he's in charge of University

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um and I'm sure you'll tell us more

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about it then we've got Jee who is uh

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very much involved with S as far as I

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believe then we've got B Nelson on my

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left uh founder of the minova project in

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the minova University Dan Levy who is at

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Harvard a lectur senior lecturer at the

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Kennedy Center and Mark kaban who is

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very involved in um as a chief knowledge

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officer in the um examined leadership

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Collective and online we've also got

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Professor Richard light from Harvard who

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can't be in here uh in with us in person

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but he sent us a contribution and he'll

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be hoping to join us in the discussion

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remotely but very much in presence so

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let's start with Richard's uh

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contribution

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hello I am Professor Richard light LT

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just like light bulb and I'm recording

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this at Harvard my University it is a

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privilege to start off this panel about

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connections between Ai and critical

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thinking I'm especially enthusiastic

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because with our incredibly

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distinguished panel I'm pleased to try

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to clearly Define those words critical

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thinking what do they mean they're often

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discussed these words by my most

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talented faculty friends and colleagues

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where I teach and my observation is

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we're well served by an effort to Define

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what exactly is critical thinking and

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can we give a just two real world

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concrete examples of how students might

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want to think about it then the work of

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this group of experts on the panel can

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pursue more connections to artificial

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intelligence generative AI chat GPT here

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is what I view as two concrete and

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entirely different ways of defining

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critical thinking for our many students

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at any good University anywhere in the

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world I want to share my view that the

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best kinds of critical thinking are

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Illustrated when a decision needs to be

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made it could be a personal life

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decision for any individual or it could

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be a a societal policy decision for

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example example one I believe critical

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thinking is needed when anyone is

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deciding do I have enough information to

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make a choice a decision put another way

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how much information do I need before I

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can make a thoughtful and constructive

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choice now I can always ask the question

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do I have enough information now if I

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need more how much more more a second

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example I'm going to make it personal

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it's about critical thinking ethical

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dilemmas ethics can often be complex and

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here's one that I find

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straightforward I have posed this to my

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Harvard graduate students in a moment

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I'll tell you what my class of 40

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students said how they voted the ethical

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dilemma that requires critical thinking

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is this I as most people I have two

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kidneys and I'm not so young anymore and

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my kidneys may be failing my doctors

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here at an excellent Hospital in Boston

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or Madrid or New York or anywhere else

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tell me I definitely need a kidney

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transplant to survive for another 5 to

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10 years so I advertise in a local

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newspaper and online that I will pay

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someone if they'll donate one of their

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two healthy kidneys they can live on one

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kidney so it can be transplanted into me

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and I'm assuming Health factors like

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blood types would be good matches

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suppose I receive a response from all

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100 Smith a middle-aged man in in Madrid

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he's in excellent Health he has two good

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kidneys and he can use some money he

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says Mr light I'll donate my kidney to

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you you can receive a transplant of my

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healthy kidney and I'll only charge you

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$100,000 it could save your life your

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$100,000 will certainly improve and

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enrich my life if you pay me for

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basically selling you my kidney and I

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have my other kidney well what's the

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point the point is I Richard light I'm

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not super rich but I could afford to pay

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$100,000 to stay alive so Alejandro

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Smith and I agree as consenting adults

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to this transaction Mr Smith will donate

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one of his kidneys at a large Hospital

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in Madrid it will be transplanted Into

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Me by excellent surgeons he only needs

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one healthy kidney to live a complete

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life and that's what he'll have after he

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donates his one other kidney to meet but

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wait the director of ethics for this

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Madrid Hospital announces this may not

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be ethical most people or many people

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simply could not afford to do this to

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pay $100,000 for a new kidney even when

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it could save a life so says the ethics

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director it is unethical or inequitable

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for Richard light Professor light to

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receive a new kidney just because he is

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financially pretty well off now I would

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reply nonsense there's no ethical

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problem Alejandro Smith and I are two

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middle-age High Highly Educated

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consenting adults we both agree will

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benefit from this entirely voluntary

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transaction my quality of life will

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clearly benefit a lot it'll save my life

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indeed saving my life is a big deal so

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I'll benefit Mr Smith will receive a

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substantial and entirely voluntary

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payment for me for his being kind enough

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to donate one of his two kidneys so his

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quality of life will benefit from having

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far more resources how can that that not

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be ethical when both parties choose to

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do this thoughtfully and voluntarily and

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both parties benefit from their happy

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agreement if you find it entertaining I

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asked my Harvard students to think about

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this exact dilemma and to make their

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judgments and they voted using secret

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ballots so no student knew who else in

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the class voted how they voted here are

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the results 60% of Harvard graduate

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students voted yes the agreement is a

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good one both parties benefit it's

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clearly entirely voluntary

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meanwhile the other 40% voted with the

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medical ethicist at the hospital they

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viewed the transaction as inequitable

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because not everyone can afford to buy a

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a kidney therefore they argued no one

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should be able to buy a kidney I view

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this simple example as a wonderful

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example of critical thinking it is from

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The Real World it's something that

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actually happens perhaps we can quickly

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agree no answer is always obviously

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right there's space for reasonable and

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very smart people to disagree on their

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Solutions so I will now conclude I view

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the these two examples as good examples

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of where it might be challenging to use

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generative AI or chat GPT just believing

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it will provide an answer or a solution

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this is not like 2x equals 10 solve for

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x and the answer is five and we need you

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know we need help getting an answer this

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is Judgment it involves making

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trade-offs between different core values

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how do we trade off societal Equity with

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the right and the willingness of two

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Consulting adults who both agree they're

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going to benefit from an agreement

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perhaps Ai and chat GPT can point out

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this challenge of coming to inclusion

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conclusion I wonder if AI can ever

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replicate a human being's capacity for

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critical thinking so now thank you for

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your patience I will subside and I will

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turn it over to our distinguished

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panelist

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this entire panel is not about kidney

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transplants or antibiotics but I hope

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these two I think simple examples serve

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as helpful introductions to what the

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words critical thinking might even mean

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when working with artificial

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intelligence panel I now turn it over to

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you thank you for your patience for

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these few

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minutes thank you very much Richard um I

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believe Richard has thrown thrown us

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quite a gauntlet um so onto critical

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thinking Ai and a bit of Ethics clearly

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thrown in Patrick I would like to start

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with you because obviously your

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university is in a very different

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context to this argument and AI is

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obviously also on your mind and your

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students mind and your teachers mind as

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well as critical thinking so how would

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you kind of look at Ai and critical

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thinking in your context just having

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heard what has told us and this is not

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about kidney transplants you know U yeah

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I I

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understand

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um so look I think that uh AI presents

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um incredible opportunities and it also

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presents some very interesting

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challenges and one example I like to

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share is that you know when you think

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about critical

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thinking um at the base of it is

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figuring out things like what are the

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right questions to

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ask um what what is the information that

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you need to make a decision what

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information is relevant or not

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relevant and it is also about being able

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to connect the dots between

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different uh sources of information and

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synthesizing an answer to to your

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question now um

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questions like what represents a

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truth are important when you're making

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decisions it used to be that um we could

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for

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example consider video and audio as

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evidence it's just they represent the

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truth uh we couldn't necessarily

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consider text as evidence a long time

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ago people thought if it was written it

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must be true

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but you know because we teach critical

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thinking we we teach people to look at

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different texts look at different

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evidence apply reasoning to coming

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coming up with a decision of what a

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truth well it turns out that with

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generative AI we're going to have to

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apply that with video and audio as well

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so this morning there was a a big

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discussion about you know establishing

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laws that um try to hold platforms

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responsible

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for uh you know putting out untruths or

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wrong information generated by Ai and

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that's all well and good but it is also

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critically important that we we teach

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critical thinking so people can also if

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they are exposed to wrong information

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that they can do that

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analysis we've also in my context in

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Ghana um our educational system has been

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very steeped in Road learning for a very

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long

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time uh since the colonial days till

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even quite

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recently now if you educate people's

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minds by root learning to

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accept information that they read or

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they

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see you

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basically are educating people in a way

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so that when they encounter wrong

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information

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they're not able to make that

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discernment and so in our context one of

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our challenges is to make sure that we

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completely step away from Road learning

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and really push uh critical thinking

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from much earlier in the educational

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system from primary education to

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secondary education through tertiary

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education those are just my first few

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thoughts that I'd want to share on this

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question and are you looking at

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including AI in in that context or or

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are you are you leaving AI out for the

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moment well um so AI is let's call it a

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machine agent a machine

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intelligence and you know in the same

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way that will'll say to students you can

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do work and you can look at information

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from Human agents and you have to apply

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a certain discipline and approach to um

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interrogating that information you you

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need to do that with machine agents as

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well and

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so I just think of it as you know a

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machine a machine intelligence and

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there's different kinds where there's

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things coming out of machine learning

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algorithms there's things coming out of

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llms whatever you're doing with an AI

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you need to understand that um your

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ability to reason

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yourself in your interaction action with

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this machine or in your interaction with

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information generated by this machine is

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important thank you Ben having heard

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what Patrick has to say you your

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students operate in a very different

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context to the Ghan context and to

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Patrick's University so how do you kind

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of look at the critical thinking and

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what makes us human with the machine at

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vura yeah so um oh there we

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go so I I I think it's it is important

play14:34

to actually you know maybe complete the

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thought that Richard started which is

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the definition of critical thinking I

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think examples are lovely but they're

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not particularly useful um because

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critical thinking as we we talk about it

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we talk about critical thinking as a

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thing critical thinking is a fiction uh

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it is it does not exist as a thing it is

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a catchment for a number of disperate

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things right making a decision tradeoff

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do I take path a or path B is a form of

play15:08

critical thinking to make decision

play15:10

trade-offs you may apply a cost benefit

play15:13

analysis for example right and then you

play15:15

have to learn how to apply cost benefit

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analysis and you also have to understand

play15:20

when to apply cost benefit analyses

play15:23

right at the same time you can also

play15:26

evaluate claims has actually potentially

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nothing to do with making decisions

play15:30

whatsoever somebody makes a claim you

play15:33

have to now evaluate whether or not that

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claim is true or not true is it a fact

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or is it a fiction but there are various

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ways of evaluating claims and sometimes

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one of those ways has nothing to do with

play15:47

other types of

play15:48

methodologies right and so when you

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think about what is it that is in this

play15:54

basket of things known as critical

play15:56

thinking you then have to unpack Haack

play16:00

certain elements of what it is that we

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can train ourselves and what it is that

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we can train the machine and it turns

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out the machine is actually quite good

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at a bunch of things right so for

play16:13

example in the kidney

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example you can ask AI today what would

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you do in this scenario and AI would say

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oh you know well if there are two

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Consulting adults and uh and here it is

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then it's perfectly fine and then you

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can tell the AI okay give me the counter

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argument and I will immediately give you

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the counterargument and do so vastly

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better than most students can

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instantly the differences and I think

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this is what Patrick was talking about

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which is crucial is this idea of

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discernment right to be able to to be

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able to discern not just what is the

play16:48

argument and the

play16:50

counterargument but to think about the

play16:53

implications to think about what do it

play16:56

mean in the grand system of Life of laws

play17:01

of justice of what makes sense and what

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doesn't make sense what are the

play17:04

unintended consequences the second and

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third order effects the emergent

play17:08

elements that come out of that and so

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critical thinking is a component that

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becomes that much more important to

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train to train

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systematically in Learners in an age of

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AI because AI will present compelling

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arguments very compelling arguments very

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quickly right around one p perspective

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or another and we have to understand how

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it is that we need to be able to discern

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using that kind of information and

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Analysis that it generate generates and

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how we make broader understanding of

play17:45

decision trade-offs understanding claims

play17:48

understanding inferences and other

play17:50

elements thank you

play17:52

Dan we heard in a previous session that

play17:55

cognitively the machines and the

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integration of the machines way out

play18:01

perform human

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beings um and will continue to do so you

play18:06

know they're in that sense smarter than

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us um so the argument and and listening

play18:13

to Ben and Patrick the argument for you

play18:16

know this concept of critical thinking

play18:19

becomes even bigger

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yet we don't necessarily all know the

play18:25

full extent of what critical thinking

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means and you being based in kind of

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more of the policy Center of of um

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Harvard and you work with

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policymaking how would you translate

play18:38

that to policy makers who might actually

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struggle with you know we've heard about

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Road learning we've heard about systems

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that don't necessarily engage with that

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very well so how would you kind of look

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at this and then you know look at that

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in the context of AI and us as

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humans thank

play18:56

you thank you um so I think I I like the

play19:01

way that Ben described um AI maybe a

play19:06

little bit as an assistant in thinking

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yeah uh so maybe it can give you the

play19:11

arguments and the

play19:13

counterarguments um I think there are

play19:16

there are days that I'm optimistic about

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AI ai's ability to be an assistant to us

play19:23

in critical thinking um and there are

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days where I'm very pessimistic so let

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me start with a pessimistic so I can at

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least end in a good note on the

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pessimistic side uh I think we all know

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that there's the possibility of getting

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the AI tool as a student to do the work

play19:44

for you and if that happens then I'm not

play19:48

sure much critical thinking is being

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developed I'm not sure any thinking is

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being developed the brain hasn't engaged

play19:55

on the other hand uh in the way that uh

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Ben described uh using the AI where you

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can ask for arguments where you can ask

play20:05

for counterarguments so that's very

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different from the kind of Road learning

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that Patrick was describing I think the

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AI can be in incredibly powerful Tool uh

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for fostering critical thinking skills

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so I guess I conclude by saying I don't

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think AI is either good or bad for

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critical thinking I think it all depends

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on how we use it and I think role as

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Educators is to think about using it in

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ways that nudge your students towards um

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good critical thinking building and

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nudge them away from uh uses of the tool

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that don't Foster that kind of thinking

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and I think that's true for students and

play20:48

for policy makers and for anyone thank

play20:50

you thank you thank you

play20:53

jese you're part of the organization

play20:55

that's organizing this conference you've

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heard you know already some very

play21:01

different views on critical thinking but

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they all chime with each other

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so what's happening

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ATK I'll answer that question uh just

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trying to pull together a little bit the

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the comments that were made uh up until

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now I

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think the you know sometimes when we

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associate these words critical thinking

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in AI uh there's different lenses

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through which to view uh the topic no so

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that one lens is this sort of um

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literacy lens right the very short term

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we need to give our students as our

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professionals um a minimum understanding

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of what AI is and the potential dangers

play21:48

of it and the ability to interpret um

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and to not you know uh go after uh false

play21:54

facts and so on and so forth so there's

play21:55

this literacy angle the other Maybe more

play21:59

interesting more complex is what Ben was

play22:01

talking about this sort of augmentation

play22:04

way of viewing critical thinking and AI

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right I think we can and we will get to

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a point where decision- making is a

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blend of human and machine um right in

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any decision there's an element of

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pattern recognition of of hypothesis

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based on on data that's very good in

play22:23

terms of the machine providing then

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there's an element of pure judgment

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which is based on culture on context and

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so on that's the human side right what

play22:31

Ben was referring to and so we need to

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move towards this idea of augmentation

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of of intelligence of human intelligence

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and the third is how do we actually use

play22:40

AI in the process of teaching and

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learning to develop what Ben refers to

play22:45

often as durable skills right which are

play22:47

these ones that then sum up to a kind of

play22:50

critical thinking so I think there as

play22:51

well AI can be a very powerful tool in

play22:55

the sense of allowing us to engage in Te

play22:58

teaching and learning col them

play23:00

methodologies that are less you know

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focused on say the exam or the test and

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more on the process of learning right

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how do the process of learning unfold

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what are the moments in that process

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that the student engages and and how do

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they and and then you know not so much

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the output right and so again things

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that theoretically we know are the right

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way to teach and learn but have been

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impossible from a scale point of view

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because of the resources uh dedicated so

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at s like in any institutions I'm not

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going to say that we solved this because

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we haven't we're just starting that

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Journey um I think it has to do with

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creating a sort of coordinating

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mechanism at at an Institutional level

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that is able to not go after you know

play23:42

the next flashy object but rather think

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through um you know the implication of

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these different levels pilot different

play23:50

solutions and eventually scale right to

play23:52

to get to that system transformation

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that George was referring to earlier

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right if not it's just individuals

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chasing whatever it is today the flavor

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of the month um and at the end of the

play24:03

day you get uh sort of a big mess uh in

play24:06

my view thank

play24:09

you Mark you're a knowledge

play24:13

officer so having listened to all our

play24:18

peers on the panel and to Richard's

play24:21

initial

play24:22

arguments how do you as a knowledge

play24:24

officer look at

play24:27

this problem or I should say

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opportunity thank

play24:33

you one thing that I was thinking about

play24:36

during this discussion is maybe the

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different definitions of critical

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thinking that we might have had coming

play24:41

into this

play24:43

conversation in in one sense critical

play24:45

thinking can be what we call higher

play24:47

order thinking skills which is about

play24:49

decision- making which is what Richard

play24:51

talked about it's about collaboration

play24:53

creativity um you know sour paper talks

play24:56

about this um and constructivism right

play24:59

most education like you were talking

play25:01

about Patrick whz has been in the

play25:03

instructionist kind of world and most of

play25:05

the AI technology is fitting really well

play25:07

into that so it's kind of reinforcing

play25:09

that type of

play25:10

education but I come to the conversation

play25:13

with another line of thinking around

play25:16

critical thinking in the way that frer

play25:18

talks about it um where we have the

play25:22

banking system of Education which is

play25:24

kind of these deposits that are being

play25:25

made these deposits are lectures they're

play25:27

tasks s their exercises and some of them

play25:30

have been really helpful for valuable

play25:33

thinking of students and some of those

play25:34

things can be now um skipped and

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bypassed through the different

play25:38

technologies that we have um and so if

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I'm looking at it at a big picture

play25:45

education can either be an instrument

play25:48

for

play25:49

reinforcing the present logic onto the

play25:52

current generations for the current

play25:55

systems that we have and thus create

play25:57

conformity

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or can be a practice of Freedom um and

play26:02

that means transforming upon the world

play26:04

and trying to really change it um when I

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I was thinking about what I want to talk

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about today and um since we're in Spain

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I thought about one of the first things

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that I learned when my family moved to

play26:15

California and we had a fourth grade

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project I was a 9-year-old kid just came

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from Lebanon and the first project that

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we did was learning about the Spanish

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Miss missions in California um and that

play26:28

education project was about memorizing

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timelines dates figures writing it in a

play26:34

paper presenting it um and then we went

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on a field trip uh to a watershed in San

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Diego for the Kumi people they're the

play26:41

indigenous people of what we call San

play26:44

Diego and

play26:45

Tijana and that was the first uh big

play26:49

water project that was created on the

play26:50

West Coast by the

play26:52

Spanish many many many years later I

play26:55

found myself in a position of teaching

play26:57

critical pedagogy

play26:58

in the fian sense and so I took my

play27:00

students back to this Watershed my

play27:03

students are inservice teachers so they

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are teaching at the hiakai at the time

play27:07

at the hiakai school system and we

play27:10

started by having tea uh at at the

play27:13

Watershed and having a conversation

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around their first realization of them

play27:18

being a settler on Kumi land what has

play27:21

been their Journey with that and then

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asking them to make predictions about

play27:25

what they were going to see in the

play27:26

Watershed that day and having a little

play27:28

notebook with them writing down their

play27:30

notes write their wonderings their

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predictions of what they were going to

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see and then I just asked them to to

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walk throughout the park and if you walk

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through this park there is these

play27:38

exhibits that accompany you all the way

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to the Watershed to the water dam and

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they tell the story of this place they

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say things like the Kumi used to live

play27:48

with the seasons of the water flow but

play27:51

the Spanish needed a more consistent

play27:53

supply of water um which they don't tell

play27:56

you what it was for which which is for

play27:58

their ranches and for their their

play28:00

colonies that they created and so um can

play28:02

you guess how they solved the water

play28:04

problem that was the question on the

play28:06

plaque and so positions the Spanish as

play28:08

innovators who are solving problems

play28:10

right you can think that's some of the

play28:12

decisions that's some of the definitions

play28:14

that we what we're saying is critical

play28:16

thinking that they're problem solving

play28:17

they're making decisions right and so at

play28:21

the end of this uh when we arrived at

play28:23

the Watershed at the end uh we had a

play28:25

conversation about what we

play28:26

saw and I I introduced a small chapter

play28:31

about the history of theft of the

play28:34

watersheds in s Diego the annexation of

play28:38

these of these places and how kumia

play28:41

people were moved farther and farther

play28:43

east into the mountains losing their

play28:44

Weds so as soon as we had that

play28:47

conversation so we read a new text we

play28:48

introduced a new text there was no AI so

play28:51

in some way I was Walling off that

play28:53

possibility so we can have a discussion

play28:55

and the next class we did a project I

play28:58

said okay you are all teaching right now

play29:00

some of my students are third grade

play29:01

English history teachers others were

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Middle School Math teachers and we did a

play29:05

project design and I can imagine in the

play29:08

future when I teach this class again

play29:09

that that AI can be very helpful in the

play29:11

project design piece as well I haven't

play29:13

done it since a since J of AI has been

play29:16

out but you know my third grade teacher

play29:19

ended up working with her third graders

play29:22

to go through a process of trying to

play29:25

rewrite all of the exhibits in the park

play29:28

and they did this by interviewing people

play29:30

like Stanley Rodriguez a Kumi Elder

play29:32

coming up with the

play29:34

questions um they even had discussions

play29:37

with them about what was written on the

play29:39

current plaques and what they thought

play29:40

about it and so the generation of text

play29:43

in the exercise was just an in it was a

play29:45

coin an it was a result of the process

play29:48

of critical thinking of what's being

play29:51

told in this and what's not being told

play29:53

and so there's all sorts of um

play29:56

possibilities that can come from another

play29:58

math teacher in that class she ended up

play30:00

creating a visual map of the water sheds

play30:05

being stolen from the Kumi over time

play30:07

since the Spanish arrival and now at

play30:10

Hightech there's a small contingency of

play30:11

teachers that are are building on this

play30:14

uh this Legacy of this class where

play30:16

they're going to other colonized spaces

play30:18

in San Diego that have these certain

play30:19

narratives one of them is Spanish

play30:21

Landing where they tell the story of the

play30:22

Spanish arriving in San Diego another

play30:24

one is Oldtown which is the first

play30:25

mission in San Diego and so we've been

play30:28

we've been doing this across all these

play30:30

different spaces um so that's what I'll

play30:33

kind of say for now of of another

play30:35

perspective on what critical thinking

play30:37

could be okay thank you uh we've got

play30:41

Richard back online uh Richard I hope

play30:44

you've uh managed to hear everybody um

play30:48

present their argument for want of a

play30:50

better word um how would you react now

play30:54

having planted the first seat seat uh

play30:57

around the kidney transplant which we

play31:00

ventured away from uh quite radically I

play31:03

would say um so how would you like to

play31:06

come back um and and sort of um you know

play31:10

augment our

play31:12

discussion thank you for oops we can't

play31:15

hear

play31:17

you we can't hear

play31:21

Richard sorry Richard we just have a a

play31:24

little problem hearing

play31:26

you yeah oh yes we can hear you now yes

play31:31

can you can you hear me now is it about

play31:33

right absolutely yes okay good so I'm

play31:36

just going I'm just going to talk for

play31:39

three minutes and I'll begin by saying

play31:43

this is a excellent excellent

play31:46

conversation um uh I find myself

play31:49

agreeing with my wonderful colleague Dan

play31:52

Ley in particular which is not

play31:54

surprising because he and I talk about

play31:57

these topics um let me just make one

play32:00

point um it's it seems to me that

play32:04

critical thinking is especially valuable

play32:08

it's a big plus um when when any person

play32:12

asks the question do I have enough

play32:16

information to make a choice or a

play32:19

decision or put another way how much

play32:23

information is needed before I can make

play32:26

a thoughtful and constructive Choice um

play32:30

I could always ask for example do I have

play32:34

enough information now to make a

play32:36

decision and if I need more how much

play32:40

more Let me give a simple very short

play32:44

example it really will be short suppose

play32:47

any one of you were the public health

play32:51

director in a country in fact why don't

play32:54

we make it the public health director in

play32:56

Spain

play32:58

suppose a hundred years ago uh a patient

play33:03

a child arrived and that child had a

play33:06

strep throat now if we POS this dilemma

play33:10

100 years ago there was no cure for STP

play33:14

throat so in other words there was a

play33:17

risk of serious illness for many weeks

play33:20

and some a few people even died suppose

play33:23

a research team in Madrid at a really

play33:27

good University

play33:28

came up with a new medication and they

play33:30

decided to call it

play33:32

penicillin and they tried it on one

play33:36

child who had strep throat as an

play33:38

experiment and the child recovered

play33:41

beautifully in 72 hours then they tried

play33:44

it on three more patients that's a total

play33:47

of four people and all four recovered

play33:50

then they tried it on six more that's a

play33:52

total of 10 patients all 10 recovered

play33:56

should the Public Health director for

play33:59

the for Spain for the entire

play34:02

nation um approve and uh argue in favor

play34:07

of giving penicillin to children who

play34:10

have Str throat in other words it's 10 a

play34:13

large enough sample I'm coming to my

play34:15

conclusion now the conclusion is

play34:18

statisticians and I happen to be a

play34:21

statistician I teach statistics among

play34:24

other topics um statisticians have rules

play34:27

for this but there are special

play34:30

situations such as when the cost of

play34:33

making a mistake could be very high such

play34:36

as children being sick uh or worse and

play34:40

so let me just say this is a case where

play34:42

if we can figure out how to use

play34:46

artificial generative artificial

play34:48

intelligence to help us decide questions

play34:52

where values where values such as the

play34:55

value of recovering quickly the risk of

play34:58

of having someone die um can be somehow

play35:02

included in the artificial intelligence

play35:05

analyses that would be terrific for cl

play35:08

critical thinking I hope that's

play35:14

help we kind of getting close to the end

play35:17

of this panel so having heard everyone I

play35:20

just want to go around all of you to

play35:22

just sort of um you know React to what

play35:24

Richard has just said but also what your

play35:27

peers have just as just said we've got

play35:29

very different flavors of what critical

play35:32

thinking is for a start which I was

play35:35

hoping would come out because there is

play35:36

not one flavor for it um and obviously

play35:40

it also is very contextual in the way it

play35:42

is kind of uh addressed and applied as

play35:46

uh jeppe also pointed out um so your

play35:50

last two cents worth please Patrick can

play35:53

I start with

play35:55

you well um

play35:59

so it seems to me that um with

play36:03

technology what technology does is it

play36:05

multiplies human

play36:06

intent and AI is a

play36:09

particularly powerful

play36:12

technology now we need to really focus

play36:15

on educating human intent and we've had

play36:18

a discussion we've talked about what are

play36:22

the right questions you have enough

play36:24

questions making

play36:26

decisions but really at the end of the

play36:29

day we also have to teach certain

play36:32

Frameworks for thinking so a very simple

play36:37

one is a golden

play36:38

rule uh this morning we heard about you

play36:42

know one of the things that makes us

play36:43

human is we

play36:45

love um and we so and and love means

play36:49

you're able to imagine yourself in

play36:52

somebody else's shoes and you're able to

play36:55

ask a simple question

play36:58

if I were in that

play37:00

position what decision would I want and

play37:04

I think that the example that Richard

play37:06

started was a brilliant example

play37:09

because um you know if you if you stood

play37:13

in the shoes

play37:15

of the person in Mexico and the person

play37:19

in the US who are doing this transaction

play37:21

you make a certain decision if you stand

play37:23

in in another set of shoes you make a

play37:25

different decision

play37:27

and in that example as

play37:31

Educators we would need to take the next

play37:33

step with those student to have them

play37:36

describe what framework were they using

play37:40

what data and how are they valuing like

play37:43

you have multiple sets of data and how

play37:46

are you assigning what weights are you

play37:48

assigning to each one so these kinds of

play37:51

Frameworks cost benefit analysis the

play37:53

Golden Rule critical mass we need to

play37:58

teach these sorts of

play37:59

things and and then when they engage

play38:04

with technology to get more information

play38:06

or to help them answer questions they

play38:09

can apply those tools to make those

play38:13

discernments

play38:14

now Ben uh gave a really interesting

play38:17

example of using the AI to give you

play38:22

counterarguments so getting more data

play38:25

more different points of view

play38:29

this is one of the things that we need

play38:30

to start

play38:32

teaching as a system for using

play38:36

technology is asking the technology to

play38:40

help you get different points of

play38:42

view but at the end we also need to be

play38:45

engaging in conversations with students

play38:48

we are the their guides and we're

play38:51

helping them through a process of

play38:52

learning how to think about the world um

play38:56

and in that way we shape human intent

play38:59

and then hopefully that means that they

play39:02

then use the technology for the right

play39:04

things I think this is a fantastic way

play39:07

of summarizing the session but giving

play39:09

you all 10 seconds now because we're

play39:11

running out of time um jeppe how would

play39:15

you respond to this 10 seconds is tough

play39:18

but I will say I'm not only optimistic I

play39:20

think it's notable I think we'll get

play39:21

over the scare which right now you know

play39:24

reduces this call for literacy and we'll

play39:26

move quickly to augmentation meaning any

play39:29

judgment any decision will be a

play39:32

combination of human judgment and AI

play39:34

enabled analysis and finally I think

play39:37

we're going to be able to transform

play39:38

education the way in which durable

play39:41

skills which underpin critical thinking

play39:43

are actually taught and so for me it's

play39:45

not even optimistic it's inevitable yeah

play39:47

thank you Ben yeah I I'll Echo that I I

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think what's important to understand is

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to be grounded in reality higher

play39:54

education as a sector has failed toach

play39:57

each critical thinking for decades uh we

play40:00

just haven't done it and I know it's on

play40:02

every website I know it's in every claim

play40:04

they're all lies all thirdparty

play40:07

assessments of higher education shows

play40:10

uniform failure uniform across every

play40:13

institution and traditional model across

play40:15

every methodology today the teaching of

play40:18

critical thinking is vastly more

play40:20

important and if we are going to

play40:22

approach it incrementally we're going to

play40:24

fail again yeah thank you

play40:29

done copy and paste what Ben just said

play40:32

okay thank you I like having Ben on the

play40:36

the panel because he makes me seem so

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optimistic which is unusual for me and I

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and I 10 seconds I would say that I

play40:43

disagree with that I mean right now in

play40:45

the US there's over 140 universities

play40:48

that have encampments on them if you

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talk to those students they would say

play40:52

that we are practicing critical thinking

play40:55

connected to our values to change the

play40:57

world other people have different

play40:59

opinions about that I think as Leaders

play41:01

we're going to have to figure out what's

play41:03

our response to that is it going to be

play41:04

dialogue and collaboration or is it

play41:06

going to be exercising asymmetrical

play41:10

power thank you I'd like to thank

play41:13

everyone on this panel uh for this

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discussion we have a long way to go I

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think uh in with regards to critical

play41:20

thinking but echoing jeppe it's

play41:23

inevitable so let's go for it thank you

play41:26

Richard for joining

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us thank you thank

play41:33

you sorry I had to be a bit strict thank

play41:36

you thank you so much you did a great

play41:39

job that that was a very difficult task

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for you well because I Richard thre me

play41:45

th threw us a big curve ball because his

play41:48

argument was

play41:49

very ethics

play41:51

based so that was but that was good

play41:54

because

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