Thermo Fisher Scientific
Responses
In your opinion, what outcomes would make the first Global Dialogue on AI Governance a success?
Action. Not just talk. Not just another report. Action in terms of securing financing to actually address some of the issues raised.
From your perspective, which of the following thematic areas identified by the General Assembly Resolution 79/325 for the AI Dialogue reflect your priorities for urgent action and active engagement?
- Social, economic, ethical, cultural, linguistic and technical implications of AI
- Safe, secure and trustworthy AI
- Protection and promotion of human rights
- Transparency, accountability, and human oversight
Please briefly explain your selection.
4
At the moment, Ai, especially generative ai, has been developed, trained, scaled and sold successfully by a handful of US men. It does not reflect the population of the world, it is seldom available in versions other then English, it reflects the thoughts, feelings, motivations and 'facts' from the narrow point of view of those few companies. LLMs are presenting this view of the world as fact and ai users are taking it up unquestioned because its "intelligent'---this will further ingrain these non-diverse views faster and deeper. It presents a very scary future for those who do not fall into that US-based, male, college-educated column.
In your opinion, are there any cross-cutting or emerging issues not captured by the listed themes above? If so, please explain.
I think a more important point is to break out some of those issues. Security of Ai is a huge issue but so is trustworthiness and I don't think they can be tackled together. Different industries are involved. Same for technical vs social implications of ai. Huge topics calling for different approaches, different fixes, different expertise required to address.
How are the governance gaps and related developments/advances in the thematic areas you selected above affecting your country, region, or sector? Please highlight the most significant challenges.
A great deal of research is done on Ai. By professionals, by students, by homemakers, by anyone using ai. When I asked ChatGPT for the 10 most important scientists it gave me alist of 10 white, western men. No Marie Curie, no Katherine Jackson, no Jane Goodall! But when I asked, why no women, ChatGPT said, oh ok....why weren't women included in the first place? Because it wasn't trained like that! Bias is a huge problem with ai. Not just because it was trained on english from the Internet. Who was a majority of using the internet way back when? White men. Women, all people of color and differing races are not appropriately reflected in LLMs and LLM findings are being accepted as fact right out of the box. This is deply terrifying and very bad news for the advancement of the human race. We, the ai community, have an opportunity now while ai use is still in its infancy, to require adjustments that address bias in the modesl & systems but if we don't act fast it will be too late to go back and fix. We need anti-bias guidance for systems now.
What role can the AI Dialogue play in advancing international cooperation on AI governance?
Good question. Can it play a role? Or will it just issue another 'report' without any result? Stop allowing US ai companies to frighten countries claiming that ai legislation with cripple advancements. This is a lie pushed by ai companies and supported by trump --simplly focusing on making them more money.
What are some of the existing initiatives, partnerships, or mechanisms that the AI Dialogue should build upon or connect with, and what added value could the AI Dialogue bring?
Stop the Omnibus. EU must stop backing down from US tech companies.
How can different stakeholders contribute to the AI Dialogue? Please share recommendations for the format and structure of the AI Dialogue.
The important things about contributing stakeholders is to allocate appropriate weights to their contributions. Tech companies, tech investors and those that derive financial gain from ai should not be given much weigh. Those seeking responsible use, fairness, ethical usage and training should contribute a majority of the value.
Which voices, communities, or perspectives are currently underrepresented in global discussions on AI governance? How could they be included?
Women at the Table/Ai & Equality is a community of ai researchers, specialists, PhD students etc. that researches ai bias and ai advancements for unrepresented communities. Please include us!
What innovative engagement formats could most effectively foster meaningful and dynamic engagement during the AI Dialogue?
No powerpoint presentations! People need to talk to each other. This is where having the tech companies, investors and creators would be helpful. Both sides (those in a hurry to develop and those asking for a slowdowna dn more careful approach) should discuss and debate. Both sides need to be heard and to hear each other.
Please share examples of policies, practices, platforms, or approaches that promote effective AI governance or offer concrete solutions to addressing its challenges.
6
1. Live online training where participants can ask questions has been very effective for us to spread generative ai usage. 2. Open and anonymous reporting of inaccuracies and issues is very useful. 3. Ai ethical use policies that include specific examples so users can see the application of the responsible usage and also where it can go awry. 4. Demonstrating topic drift so users can see subtle shifts when ai moves away from the question asked. 5. Demonstrations of ai errors/hallucinations so users can see that sometimes these are very subtle. Not all errors are 'put glue on Pizza.'