Mohammed Bin Rashid School of Government
Responses
In your opinion, what outcomes would make the first Global Dialogue on AI Governance a success?
Interdisciplinary, robust and honest multilateral discussions on the systems part of AI, its ability to jump sectors, rapid adoption and dual use.
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
- Interoperability of governance approaches
- Protection and promotion of human rights
- Open-source software, open data and open AI models
Please briefly explain your selection.
3
So much misinformation - transparency on an equipment with billions of calculations is close to zero unless it's a narrow AI or output is clear. Error rates are always changing (as in puts change, use of third party data shifts with bug releases, with vibe coding). Misinformation on basic terms - open source, benefits of Ai etc. we need an intergenerational approach to AI and most important some honest conversations on costs of security and economic opportunities of AI and implications for future (society, livelihoods, skills, etc)
In your opinion, are there any cross-cutting or emerging issues not captured by the listed themes above? If so, please explain.
1
Yes - see above - we need systems thinking. Our human rights are not enough at the rate AI is evolving. We are playing catch up - we need to be ahead of the curve.
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.
Skills obsolescence and knowledge distortion. Most frightening. As we switch to "online writing", who will be the keeper of words? Who will ensure skills humans develop remain when Ai fails (it will as it's a technology).
What role can the AI Dialogue play in advancing international cooperation on AI governance?
Literacy of policy makers for better governance of frontier tech like Ai abducts implications in sectors like health, education, security (which should not be exempt) and research (which should not be exempt). Governance does not need to be hard rules - can be soft rules
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?
Work with us as we educated 43 government officials over the last few years at senior levels. We are developing a simulation to help governments understand impacts (Can't wait 40 years like with ozone layer)
How can different stakeholders contribute to the AI Dialogue? Please share recommendations for the format and structure of the AI Dialogue.
Some design thinking or simulation workshops (I can contribute to this), get 360 viewpoints on issues (eg positive and negative use cases). Move away from risks to tradeoffs
Which voices, communities, or perspectives are currently underrepresented in global discussions on AI governance? How could they be included?
Women and children from emerging and conflict areas, people who are being forced to adopt ai (especially government systems), people hurt by breaches, systems thinkers (very small group), child psychologists, sociologists, psychiatrists, orthopedic doctors, eye doctors early childhood doctors, etc
What innovative engagement formats could most effectively foster meaningful and dynamic engagement during the AI Dialogue?
Simulation and large design thinking participate excercises
Please share examples of policies, practices, platforms, or approaches that promote effective AI governance or offer concrete solutions to addressing its challenges.
2
We do Training programs focussing on capacity building through perception change via exposure. The issue is the answers need multistakeholder alignment