Activities on arrival include a Quotes Auction and Voting Boards, both in-person and online. These activities aim to immediately engage participants in the day’s theme of AI and Risk.

10:00 - 10:15: Phase 2 - Tuning in and Host Welcome

The welcome session sets the tone for the day, introducing the strategic importance of ethical AI and safety. The aim is to establish a shared understanding and context for the day’s discussions.

10:15 - 10:35: Phase 3 - Seeding the Day

10:45 - 11:15: Phase 4 - Community Scan

Featuring:

• Michael Ekpechue, Director at Ada Labs UK

• Priscila Chaves Martinez, Innovation and Ecosystem Lead at Cargill

• Alex McKeown, Head of Data Ethics at Information Governance Services, Research Fellow in Bioethics at the University of Oxford

• Dr. Syreeta Charles-Cole, Data Science Ethicist, CEO and University Ethics Reviewer

This panel discussion aims to explore a multi-stakeholder approach to AI safety. The interactive Q&A and the empty chair concept are designed to include diverse perspectives.

11:30 - 11:45: Phase 5 - Break and Informal Dialogue

11:45 - 12:15: Phase 6 - The Ethical Agenda for Business

Featuring:

• Evgeniya Fedoseeva, Director of KM at Beamery, Founder at Generation KM

• Renaud Di Francesco, Director, Europe Tech. and Standards at Sony

• Andrei Bogdan, Inclusion, Diversity and Engagement Manager at Informa

The panel aims to discuss the business case for ethical AI development, particularly focusing on diversity, equity, and inclusion (DEI).

12:30 - 13:15: Phase 7 - Midway Along Our Road

This lunch break offers a moment for thought leadership, possibly through a slideshow or a recorded forum, aiming to keep the intellectual engagement alive.

13:15 - 13:45: Phase 8 - The Good, the Bad and the Possible

This forum scrum aims to explore corporate governance perspectives on AI transparency through scenario-based discussions.

13:45 - 14:15: Phase 9 - Voice of the People, with:

Featuring:

• Ryan Carrier, Executive Director at ForHumanity

• Kerryn Arnott, Legal Head, Digital Innovation at Standard Advisory London and Standard Chartered Bank

• Katja Andric, AI Policy Analyst at GSK

• Prof. Ali Hessami, VC & Process Architect, IEEE Ethics Certification Programme for Autonomous & Intelligent Systems at IEEE Standards Association

This panel aims to discuss corporate responsibility in AI ethics, focusing on public awareness and engagement.

14:30 - 14:45: Phase 10 - Asking the Next Generation

This strategic interlude aims to include the voice of the next generation, discussing best, expected, and worst-case scenarios in generative AI.

14:45 - 15:15: Phase 11 - Moving Our Feet into Action and Commitment

Featuring:

• Debbie Reynolds, Founder and CEO at Debbie Reynolds Consulting

• Sarah Clarke, Owner at Infospectives

• Belinda Djamson, MD, Data and AI at Accenture

• Prof. Paul Morrissey, Chair and Global Ambassador at TM Forum, Nova and Bolgiaten

• Rebecca Gorman, Founder and CEO at Aligned AI

This panel aims to explore business-led initiatives for ethical AI, focusing on collaborative solutions.

15:30 - 15:55: Phase 12 - Panorama, Horizon Scanning and Weaving Threads of the Day Together

This concluding session aims to synthesise the day’s discussions and insights, setting the stage for a press release capturing the collective wisdom of the forum.

16:00 - 16:25: Phase 13 - Seeding the Onward Journey Beyond the Forum with Nick Bostrom

Nick Bostrom’s session aims to challenge the forum with questions or provocations that will extend the day’s discussions into future engagements.

16:25 - 16:30: Phase 14 - Setting Off for Home and into the Future

The closing remarks aim to thank all participants and lay down the next steps for staying engaged as a community.

Almost every pathological reaction influences sense perception. This happens because a biophoton is released which influences colour perception so by measuring changes of colour perception we can screen everything about a person’s health. It is also a neuromodulation therapeutic technique which proof-of-concept studies have illustrated 75-96% effective, often achieving therapeutic outcomes which exceed that which is possible using biomedicine. The technique ‘Strannik’ was developed by Igor Grakov in the period 1981-2006.

Balance of bringing in health and creativity into schools together with AI Ed.

The already excludes folks that need be brough onboard as we go ahead . laws and regulations must be perpetual reconsidered as we widen the audience to AI policy.

Ai can save us all ... IF we work towars that Vision .

Consequences of mis-use of AI. How will we enforce regulations? practically?

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Andres Leon-Geyer (1 Nov 2023, 14:36)

I think too there will be differences. One thing is the open development which always is slightly wild, but also the established companies, which are more affected by regulations. And regulations also give a direction

So I certainly think absence of regulation will be a problem

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Pat (1 Nov 2023, 14:38)

Regulation is nothing without enforcement (although that can be enforcement through social norms, but criminals ignore that)

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Jaime Schwarz (1 Nov 2023, 14:41)

Livi- Sand Talk is a recco book

Jean Marie Altema (1 Nov 2023, 14:41)

Certainly, regulation isn't about blocking. It's important to create a safe environment that benefits all stakeholders.

Jaime Schwarz (1 Nov 2023, 14:42)

AI impersonating humans must be illegal

Andres Leon-Geyer (1 Nov 2023, 14:43)

To what Jean wrote: agreed. A rives does not stop to flow if it has bordersLivi Adu (1 Nov 2023, 14:46)

AI knows it has Bias due to the data sets it has been trained on but, it can't recognise what the bias are

Pat (1 Nov 2023, 14:53)

I'm not sure that people can normally recognise their biases, let alone what those biases are

Andres Leon-Geyer (1 Nov 2023, 14:55)

I guess it is quite difficult, and already a big win if we are aware that we are packed of biases….

But having them is not bad, is natural, but to decide and judge based on them, I think

Pat (1 Nov 2023, 14:45)

Policy rather than regulation seems like a good emphasis

the issue with not addressing Bias, either in yourself or technology is that it perpetuates stereotypes and leads to prejudice.

Yes, agree Livi; although I agree with Andres it is natural to have biases, if we don't recognize them and work to avoid having them influence us in decisions, it leads to bad decisions, but also that continuing problem of stereotypes and hence prejudice, which is then self-perpetuating

Livi Adu (1 Nov 2023, 14:46)

AI knows it has Bias due to the data sets it has been trained on but, it can't recognise what the bias are

Pat (1 Nov 2023, 14:53)

I'm not sure that people can normally recognise their biases, let alone what those biases are

Andres Leon-Geyer (1 Nov 2023, 14:55)

I guess it is quite difficult, and already a big win if we are aware that we are packed of biases….

But having them is not bad, is natural, but to decide and judge based on them, I think

Livi Adu (1 Nov 2023, 14:57)

the issue with not addressing Bias, either in yourself or technology is that it perpetuates stereotypes and leads to prejudice.

Pat (1 Nov 2023, 15:01)

Yes, agree Livi; although I agree with Andres it is natural to have biases, if we don't recognize them and work to avoid having them influence us in decisions, it leads to bad decisions, but also that continuing problem of stereotypes and hence prejudice, which is then self-perpetuating

Andres Leon-Geyer (1 Nov 2023, 15:05)

Agreed. Because passing it perpetuates it. So, we have it, that’s natural, but we put it in our products, and that starts a problem. Our products make it (as usually happens with uncontextualized info) in kind of a truth. So we have to pass also the awareness of bias to avoid their perpetuation?

Andres Leon-Geyer (1 Nov 2023, 15:05)

Agreed. Because passing it perpetuates it. So, we have it, that’s natural, but we put it in our products, and that starts a problem. Our products make it (as usually happens with uncontextualized info) in kind of a truth. So we have to pass also the awareness of bias to avoid their perpetuation?

Andres Leon-Geyer (1 Nov 2023, 15:09)

In the case of social networks, a playground for our prejudices and esterotipes, we know - if we are lucid users - that we should not believe all…

But in products where the source is so indirect like AI tools, we loose of sight the human bias and are not capable of fighting it.

Andres Leon-Geyer (1 Nov 2023, 15:09)

?

Livi Adu (1 Nov 2023, 15:10)

We have to be aware of it so that we can be better critical thinkers in our professional practice. Awareness is the first step, you then have to find ways to reduce the bias (with decision makers having relevant lived experience), then you apply that new learning to make your product better for the end user's experience.

Livi Adu (1 Nov 2023, 15:12)

we totally do lose sight of the bias with AI tools but, with AI hallucinations, it is bringing it to the forefront.

Pat (1 Nov 2023, 15:13)

I think most people seem to totally lose sight of bias anyway, without AI being anywhere near the problem. Look at the way some political movements influence folk who don't exercise their critical thinking powers.

Pat (1 Nov 2023, 15:14)

Of course, there are also those who then use AI to capitalise on that human weakness

Andres Leon-Geyer (1 Nov 2023, 15:16)

Agreed. There always will be.

To be true, I think (quite optimistically) that’s a minority, what troubles me more is our own sympathy for our weaknesses- like willful ignorance, or willful lack of awareness :/

Pat (1 Nov 2023, 15:19)

I think there is a mix of concerns there; if we can get everyone to deal with their own weaknesses, the problems largely go away, because an AI will have to adjust to behave itself to continue being useful. However, I think that is an unlikely outcome, sadly. I know I can't identify all of my own biases, try though I might.

The other side is the disproportional impact the bad actors can have, by influencing millions through social media (or, indeed, through legacy media)

For example, in another area: if I can cure trauma with VR, I can also cause it. It can be due simply to ignorance of its emotional power, but ignorance does not save me of responsability. If I am the teacher of VR development with did not tell well about the emotional consequences, am I accountable too. I know, this is quite far away of the kind of problem we are talking now, but I believe often a threath is to think that harm comes only from “bad people”, because it projects the problems far from our own agency.

Jaime Schwarz (1 Nov 2023, 15:08)

Transparent provenance of IP sourcing

Jaime Schwarz (1 Nov 2023, 15:25)

But if I show my jk Rowling work to open AI then I’ve informed them this needs to be fixed, where is the law on once ai company has been informed it can still provide plagiarized content that open ai is then liable?

Ryan Carrier (1 Nov 2023, 15:27)

Standing and empowered Ethics Committees operating with a Code of Ethics that transparently describes the shared moral framework and relevant legal frameworks applicable to the adjudication of each instance of Ethical Choice - ethics officers trained in Algorithm Ethics

Pat (1 Nov 2023, 15:27)

Data ethics may be more important, but yes.

Ryan Carrier (1 Nov 2023, 15:28)

Independent Audit of AI Systems is a 4 line of defence model that is operated over the lifecycle of an AAA SystemYou to Team MKAI (Direct Message) (1 Nov 2023, 15:30)

I think its important to emphasise that not all ethics is or can be codified into law. But can have consequences to humanity and organisations .

Ryan Carrier (1 Nov 2023, 15:30)

disagree Pat - we should talk

Jaime Schwarz (1 Nov 2023, 15:31)

Agree with Ryan, that’s was certifications and audits are for

You to Team MKAI (Direct Message) (1 Nov 2023, 15:31)

And that the conversation is important to be held perpetually a we mature with AI and machine learning.

Pat (1 Nov 2023, 15:32)

Then you are trusting the external audits and certifiers instead, which is easier/better to do

The design and behavior of AI tools should consider the potential for misunderstandings and uncomfortable interactions. AI should respect social and cultural norms, and developers should take care to ensure that AI systems do not engage in behavior that could be perceived as harassment, discrimination, or discomfort.

Ultimately, the appropriateness of an AI tool's behavior depends on the specific context, the user's preferences, and the intended purpose of the AI. It's important for developers to create AI systems that are user-friendly, considerate, and adhere to ethical guidelines. If you encounter an AI tool that makes you uncomfortable, you should provide feedback to the developers so they can improve the system's behavior.

HUMAN OVERSIGHT - Ensuring that Humans are in-the-loop, on-the-loop, in-Command, or available for post hoc review of outputs of the AAA Systems as appropriate and applicable

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Pat (1 Nov 2023, 16:18)

I'm not sure we have any systems at all which don't have a human in the loop, at some point. I think the issue is making sure that the humans in the loop are able to veto and mandate retraining of AI if necessary.

Ryan Carrier (1 Nov 2023, 16:19)

Let's be careful with our definitions - human-in-the-loop means that an AI CANNOT achieve a decision without the human

we definitely do NOT mean that AI's should all have a human-in-the-loop. Imagine a stop light for traffic

Human-in-Command

A natural person assigned by a system Provider or Deployer to act as no less than a 3rd line of defence governance Human-on-the-Loop, knowing the capacity and limitations of the system, possessing sufficient training for the regular operation including the identification of anomalies, dysfunctions and unexpected performance.

Human-in-the-loop

any model that is unable to offer an answer or conclude processing without human intervention

Human-on-the-loop

Human supervision and/or control of AI, algorithmic or autonomous systems, however the system is able to conclude processing without the need for human intervention

hopefully those definitions are helpful and distinct from each other

Pat (1 Nov 2023, 16:27)

Ryan, where are those definitions from - I like them, but would need to persuade others to use them