ATHENAS Referentenvideo Robin Weninger

Summary

In 2023, the year of AI, leaders face critical questions about AI integration. Rather than becoming AI experts, executives should focus on how AI impacts business models, ethical considerations, and organizational structures. Discussions should address the implications of AI tools on jobs, high-risk decisions, and the balance between human and machine involvement. The key is understanding AI's broader effects on the workplace and society, rather than the technical details, to navigate the future effectively.

Takeaways

• 🧠 AI is not just about chatbots; it encompasses a wide range of technologies and has been developing for many years.
• 🛠 Leaders don't need to become AI experts but should understand the implications of AI for their organization and industry.
• 🤖 The focus should be on what to do with AI technology rather than the technical details, which are handled by specialists.
• 💡 AI raises ethical questions about how it's used, such as in customer support or content creation, and the impact on human interaction.
• 🏢 The adoption of AI could lead to new organizational structures and changes in job roles, requiring strategic planning and adaptation.
• 🔄 AI tools might automate processes like procurement negotiations, which could free up human capacity for other tasks.
• 🤝 Discussions about the balance between AI and human involvement in decision-making processes are crucial, especially in high-risk situations.
• 💼 The potential surplus of human capacity due to AI automation needs to be addressed with thoughtful consideration of job reassignment or creation.
• 🔍 Leaders should consider the scenarios where human involvement is essential and where AI might be more appropriate.
• 🌐 The future of AI in business is about understanding its broader implications for the organization, the workforce, and the business environment.
• 🚀 While the technical aspects of AI are important, it's the strategic and ethical considerations that should guide leaders in leveraging AI effectively.

Q & A

What is the significance of AI in 2023 according to the transcript?

In 2023, AI has taken center stage, especially with the rise of large language models like GPT, followed by other AI tools, making it the 'year of AI' and a frequent topic of discussion.

Why is it not necessary for every leader to become an AI expert?

Becoming an AI expert requires deep knowledge and experience, which cannot be acquired quickly. Leaders should focus on understanding the implications of AI for their organization rather than mastering the technical details.

What is the main focus for leaders regarding AI?

Leaders should focus on what they will do with AI, including how it can be integrated into their business models, the ethical considerations, and its impact on organizational structures and human interaction.

What ethical discussions should leaders consider regarding AI?

Leaders should discuss the ethical implications of AI, such as the extent of human interaction in customer support, the use of AI for creative tasks like scriptwriting, and the potential for AI to replace human roles in negotiations and decision-making.

How might AI change organizational structures?

AI could lead to new organizational structures where AI tools handle tasks like procurement negotiations, potentially reducing the need for human involvement and leading to a reevaluation of job roles and responsibilities.

What are the potential implications of AI tools handling procurement negotiations?

If AI tools manage procurement negotiations, it could lead to negotiations between AI tools of different companies, raising questions about the need for human oversight and the ethical implications of fully automated negotiations.

How should organizations prepare for the shift towards AI in business processes?

Organizations should ask the right questions about the implications of AI on their business models, consider how to reallocate human resources, and explore new tasks or roles for employees whose jobs are automated.

What scenarios might require human involvement despite AI capabilities?

High-risk situations might still require human involvement due to the emotional and ethical considerations that AI may not fully account for, or conversely, machines might be preferred for their rational decision-making in high-stakes scenarios.

How should leaders approach the decision to use AI in high-risk situations?

Leaders should have discussions about whether AI or humans should handle high-risk situations, considering the rationality and data-driven nature of AI versus the emotional and ethical judgment of humans.

What is the role of AI in the future of customer support?

AI could play a significant role in customer support by handling routine inquiries through chatbots, but leaders must consider the balance between AI efficiency and the need for human empathy and interaction.

How can AI impact the creation of content like scripts and videos?

AI tools can assist in writing scripts and even producing videos, potentially reducing the need for human creators. However, the ethical and creative implications of AI-generated content should be considered.

Outlines

00:00

🤖 Understanding AI as a Leader

The speaker discusses the importance of understanding AI for leaders in 2023, emphasizing that AI knowledge is not about becoming a technical expert but about understanding the implications of AI on business and ethical considerations. Leaders should focus on what AI can do for their organization and the ethical implications of its use, rather than the technical details.

05:03

⚖️ Ethical Considerations and AI

The speaker explores the ethical questions surrounding AI implementation, such as replacing human interaction in customer support with advanced chatbots and creating non-human interactive content. Leaders need to consider whether these changes are desirable and prepare for the implications, such as potential job displacement and the need for new organizational structures.

🤔 Human vs. AI Decision-Making

The speaker highlights the debate over whether AI or humans should handle high-risk situations. While AI can make rational decisions based on data, humans bring emotional and ethical considerations. Leaders must discuss and decide the appropriate balance between AI and human involvement in various scenarios, focusing on the broader implications for their organization and workforce.

Keywords

💡AI

AI, or Artificial Intelligence, refers to the simulation of human intelligence in machines that are programmed to think and learn. In the video, AI is discussed as a transformative force in various industries, especially with the rise of large language models like GPT. The speaker emphasizes that leaders should focus on how to utilize AI in their organizations rather than becoming AI experts themselves.

💡Large Language Models

Large Language Models are a type of AI that can understand, interpret, and generate human-like text based on the input they receive. The script mentions these models as part of the broader AI landscape, highlighting their role in changing how we interact with technology, such as through chatbots and content creation.

💡Ethics

Ethics in the context of AI refers to the moral principles that guide the development and use of AI technologies. The speaker brings up ethical considerations in how AI is applied, such as in customer support or negotiations, questioning what is right or wrong in using AI to replace human interactions.

💡Chatbots

Chatbots are AI-powered tools designed to simulate conversation with users. The script discusses the evolution from basic chatbots to more sophisticated ones, which can handle complex tasks like customer support, illustrating the increasing role of AI in everyday interactions.

💡Script Writing

Script writing in the video is mentioned in the context of using AI tools to automate the creation of scripts for videos or other media. This highlights the potential for AI to impact creative processes, raising questions about the role of human creativity in content creation.

💡Digital Versions

The concept of digital versions, as discussed in the script, refers to creating digital representations of individuals, potentially for tasks like video lectures or presentations. This raises questions about authenticity and the value of human presence in digital interactions.

💡Procurement Negotiation

Procurement Negotiation is the process of negotiating terms with suppliers for the purchase of goods or services. The script explores the idea of AI tools handling these negotiations, which could lead to fully automated interactions between companies, raising questions about the need for human involvement in such processes.

💡Organizational Structures

Organizational Structures refer to the way in which an organization is arranged, including its hierarchy and workflow. The video discusses how the introduction of AI could lead to new organizational structures, as tasks traditionally performed by humans are automated, necessitating a rethinking of roles and responsibilities within companies.

💡Human Interaction

Human Interaction is the process of communication and engagement between people. The script questions the impact of AI on human interaction, particularly in high-stakes situations, and whether machines or humans should be involved, reflecting on the emotional and rational aspects of decision-making.

💡High-Risk Situations

High-Risk Situations are contexts where significant consequences could result from decisions or actions. The video script contemplates whether AI should be used in such situations due to their ability to make rational decisions based on data, contrasting this with the more emotional and subjective human decision-making process.

💡Business Models

Business Models describe how a company creates, delivers, and captures value. The speaker in the video prompts leaders to consider the implications of AI on their business models, particularly how the automation of tasks might affect the workforce and the need for new roles or responsibilities.

Highlights

2023 is the year of AI, with models like GPT taking center stage.

AI is not just about chat tools, but a broader field of large language models and other technologies.

Leaders don't need to become AI experts but should understand its implications for their organization.

AI development has been ongoing for years, expertise cannot be gained overnight.

Leaders should focus on what to do with AI, rather than the technical details.

Most companies will likely use AI infrastructures rather than building their own models.

Ethical considerations are important when deciding how to use AI in business.

AI can automate tasks like customer support, but should it replace human interaction is a key question.

AI tools can write scripts, produce videos, and even create digital versions of people.

The future may involve AI tools negotiating with each other, removing human involvement.

Such developments raise questions about new organizational structures and human roles.

What to do with human capacity freed up by AI is a pressing question for organizations.

Leaders need to ask if human involvement should be maintained in high-risk situations.

AI's rational approach may be preferable in high-stakes scenarios compared to human emotion.

Leaders must discuss and understand the implications of AI on their business models and people.

The focus should be on how AI impacts the organization and work environment, not just the technology.

Transcripts

what should i as a leader know about

AI probably a question that I've heard

many many times this year especially

this year it's 2023 it's the year of AI

since jet GPT took over the stage and

now followed by their friends from um

from clothed and B and you you have it

whatever kind of AI tool you prefer so

what should you know as a leader about

AI is is not a very easy question

because if we just look at all these um

chat tools that that I just mentioned

this is just like one part of artificial

intelligence in this case large language

models but there's there's quite a lot

to to learn about artificial

intelligence and it would be probably

also the wrong approach to say every

leader every manager every executive

should be now an AI expert as the

internet sometimes portrays right that

everybody now is an AI expert but the

feel of AI is actually something that

that is developing since since many many

years

and what can be an expert in one field

doesn't necessarily mean that that you

can have this in like a weekend course

the important part about technology in

general but especially AI as a leader as

a manager is probably not the obvious

technical questions that many people put

in the room because there are great

smart people out there that are sitting

Labs that are developing all the

algorithms and all the the tools behind

that but what we as leaders should focus

on and as business Executives is what

are we going to actually do with that

it's not that every company on this

planet will build their own AI models in

the future it will be most likely that

there will be infrastructures for for

artificial intelligence that we pluck

into but then the question is what are

we going to do with that and with that

we come more into ethical discussion

right what is right or wrong to do with

artificial intelligence think about

customer support functions right we

could easily put back in the day's

chatbots now we have more sophisticated

chatbots um we can use that right

there's no more human interaction

involved we can use AI tools to write

scripts for for videos we could use AI

tools to um write our homework right we

could use that then to also produce

videos like that it doesn't really

require me anymore being physically

sitting here on the sofa on the apps

campus to record this video there is

also like options out there to create a

digital version of myself in this case

or someone else write a nice script

using chat GPD or whatever kind of tool

you prefer putting this all together and

creating the fully nonhuman interative

video lecture all possible question is

do we want to do this maybe

I don't know we will see what what the

future unfolds but how will this lead to

new organizational structures in the end

think about it if you have for example

an AI tool in place to do your

procurement negotiation with your

suppliers what if your supplier then

also says okay if they are using an AI

tool that is negotiating with me why

don't I build my own AI tool that

negotiates with their AI tool and all of

a sudden we have negotiations between

two companies fully facilitated by two

AI tools without any human being

involved at all is this good is this bad

I don't know but we should have this

discussion right because this is a

decision to take out in this case human

interaction out of a value

stream again is this good or bad we

don't know but we need to be prepared

for that we need to ask the right

questions what are the implications then

on our business model what are we going

to do with all the people in the

procurement Department in this example

that used to do the negotiation if now

this is being done by tools and probably

only 10% of these tool-based

negotiations goes back to to a desk of a

human being for a final review so

probably all of a sudden you have a lot

of human capacity that is all of a

sudden available what do you do with

that are you just firing the people

could be an answer or are you finding

some kind of a new job for them do they

find like new task what does it mean

because we need to really prepare for

that as an organization we will ask

these questions all the time and then we

need to also go into the edges right

what are the scenarios where we probably

want to have a human being involved

think about like a highrisk situation

maybe it's better in this highrisk

situation that a human being is being

being involved or maybe not maybe it's

the complete opposite where we say like

oh if there's a lot at stake if the risk

is very high then probably machines

should take over because they are

rational right they take data they take

the facts that they have been fed with

and come to a rational conclusion based

on these data that is available a human

being probably has a more emotional

process to that right probably takes

some kind of different approach that is

more aligned with their individual

ethical proposition so maybe it makes

sense to say like oh in high risk

situations we take machines or AI Tools

in low risk situations we take human

beings or vice versa I don't know the

answer to that probably you don't know

the answer either but we need to have

these discussions and that's why we not

need to understand all the technological

nitty-gritty and details of artificial

intelligence as a leader as an executive

as a manager but we need to understand

what these nitty-gritties

imply for our world what will that mean

for us in the organization what will

this mean for our own work and what will

this mean for the work and the

environment around us that are the

questions that we really need to ask as

leaders and that we really need to dive

into when we talk about AI it's not not

only about the tech the tech is the

smallest part someone else will figure

that out but we need to re building on

this implication level for the

organization for the human beings and

for the

business