Ma'ruf
Responses
In your opinion, what outcomes would make the first Global Dialogue on AI Governance a success?
1. A lack of alarmism: AI - like many other technologies before it - is disruptive. The pace and complexity is higher, but the patterns are similar. Try to use analogies from previously disruptive technologies. Everyone should leave feeling empowered, not disoriented. 2. Technical Rigor: AI is not a monolith. Some forms of weak AI have existed for decades. some forms of medium AI are developing. truly strong, all purpose AI is a while away, by most forecasters. everyone should be exposed to the diversity of AI use cases, both in private industry and government. 3. Phased Transformation: the next 50-100 years will feature unpredictable, emergent events in climate, tech, etc etc. humanity should proceed forward with regular "slow-down" periods to evaluate consequences of tech waves, which will progressively spike from the private industry - any complex, dynamical system has emergent consequences which no analysis can predict. humanity should be guided into a phased transition period with regular intervals of paused policy analysis and economic boosting. Geospatial data and granularity are extremely important - data and information is king in the upcoming century. Controlling the pace of change - or rather proper timing - is essential to a sustainable future for all sentient life.
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?
- Safe, secure and trustworthy AI
- Protection and promotion of human rights
- Social, economic, ethical, cultural, linguistic and technical implications of AI
- Interoperability of governance approaches
Please briefly explain your selection.
As long as everything has rigorous, agreed upon protocols developed to the highest ethical standards possible given the constraints - that should be enough. not enough to be immune to criticism, but enough.
In your opinion, are there any cross-cutting or emerging issues not captured by the listed themes above? If so, please explain.
2
Resource limitations and/or climate feedback. Silicon is not infinite. Water usage for AI is not infinite. Chips are not infinite. Climate science predicts unpredictable increasing climate shocks in the upcoming century. A steady, phased transition is best - we'll be fighting existential threats on multiple fronts. but it is possible - even likely - to survive and thrive - as long as resource allocation is devoted proportionately - in particular, expect an increased need for extreme level phenomena in climate and tech feedback that ought to inspire the renovation of the humanitarian/disaster funding sector, which is sorely needed - and has been needed - for years. Political tribalism should be kept to as minimum as possible (impossible, but heavily discouraged) - this is not the time for complex political gerrymandering over copyright issues or who has the first crack at AI governance - include all actors and countries immediately in discussions, develop culturally sensitive nuances/loops to account for societal complexity.
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.
The Silicon Valley is very, very, very pro AI - understandably. The pace is incredible, but the regulations ar e lax - but I see this as a creative, tremendously experimental time. The input of climate resource limitations is welcome - we care about not destroying the planet while the massive resources are being poured into this. There is more, but my previous responses should help quite a bit.
What role can the AI Dialogue play in advancing international cooperation on AI governance?
Talking is always wonderful, but outcomes are better. I would suggest an independently audited, objective, non-partisan council to follow thru on commitments made during the Dialogue and make it open access - the public are more likely to feel confident in the UN's ability the more open access things are, which would help restore faith in the organization as well as provide a credible achievement after.
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?
The Long Now Foundation Santa Fe Institute Complexity Science Cosmological Groups Anything that deals with the long term future of the human race, of which AI is inextricably connected to.
How can different stakeholders contribute to the AI Dialogue? Please share recommendations for the format and structure of the AI Dialogue.
I propose a feedback loop of: 1. Everyone shares current regulatory policies/understandings of constraints 2. Group sharing of top technical knowledge/emerging trends in AI (must be beyond step 1) 3. Group discussion on implications of legality and complex governance constraints, region specifics 4. Commitment to either change and/or create legislature in the fututr/have some itemized bulletpoint outcome list 5. Hand off outcome list to independent auditing team (open access, public) to public and the UN can jointly help species into increased confidence and commitments
Which voices, communities, or perspectives are currently underrepresented in global discussions on AI governance? How could they be included?
Underprivileged countries, countries that AI training data is being unfairly mined for, anyplace where the eco impact is likely to happen. It is important to not frame these communities as "underrepresented" - rather let them naturally intervene and make their piece known (of which, will likely be entirely justified venting about the ethical abuse they have suffered at the hands of big tech) - but afterwards, once trust and communication is established, these countries can become excellent allies in facilitating AI into a newer generation, as power slowly decentralized, particularly moving more towards Asia/Africa by 2100.
What innovative engagement formats could most effectively foster meaningful and dynamic engagement during the AI Dialogue?
Round Table Discussion! Group discussions - followed by joint/large group discussions would be amazing. Region by region for local complexity, entire table for joint information. A system of moderators to facilitate free exchange. Everyone should rigorously challenge and scrutinize each other's protocols and suggestions - the more disagreement, the stronger the ensuring governance structure in the end.
Please share examples of policies, practices, platforms, or approaches that promote effective AI governance or offer concrete solutions to addressing its challenges.
9
I'd say just take what the EU did recently and just scale it - complexity is easier once the fundamentals have been established... some of it is abstract, but mostly the principles of open access, constant auditing, and preferably numerical, objective metrics (my own recommendation) for some measure: jobs/disruption index/enlist scientists to develop a HDI-like measure - maybe an AIQ? (AI Quality) index - rigorous indexing combined with open access and follow thru on commitments helps. ... reproduced below. (developed with AI!) Concrete Treaty Mandates - Council of Europe AI Convention (CETS No. 225) Fundamental Obligations Each Party shall adopt or maintain appropriate legislative, administrative, or other measures to give effect to the provisions set out in this Convention. (i.e., states must enact laws, rules, or official measures to implement the treaty's requirements.) Ensure that activities within the lifecycle of artificial intelligence systems are fully consistent with obligations to protect human rights, democracy, and the rule of law. (This covers design, development, deployment, use, and decommissioning.) Human Rights & Democratic Protection Ensure AI systems do not lead to discrimination or the infringement of fundamental freedoms such as privacy, equality, and freedom of expression. Adopt measures to ensure AI is not used to undermine democratic institutions or processes, including judicial independence, access to justice, and electoral fairness. Risk & Impact Management Establish risk and impact management frameworks that require: Identification, evaluation, and mitigation of potential risks to human rights, democracy, and the rule of law. Assessments conducted throughout an AI system's lifecycle. (This is a risk-based approach embedded in the treaty.) Provide transparency about risk assessments and ensure their results are accessible/transparent, supporting public understanding and oversight. Documentation, Transparency & Oversight Require detailed documentation obligations for AI systems, especially those identified as high-risk, including: Purpose of the system Data governance and protection practices Records supporting transparency and accountability (Consistent with concepts in the EU AI Act integrated into the treaty.) Strengthen oversight mechanisms for supervision of AI activities, including documentation, accountability, and remedies when harms occur. Procedural Safeguards & Remedies Provide effective legal remedies and procedural safeguards for individuals harmed by AI systems, including: Ability to challenge AI-driven decisions. Right to know that a decision was made by or substantially based on an AI system. Access to competent authorities to lodge complaints. Notice & AI Interaction Require notification when an individual is interacting with an AI system rather than a human being (to preserve autonomy and informed consent). Scope & Application Applies to activities with AI systems undertaken by public authorities or by private actors acting on their behalf. (Parties can choose direct treaty obligations for private actors or alternative appropriate measures ensuring consistency with treaty goals.) Exempts national security and some research/development activities, but still requires respect for international law and democratic processes where such activities might affect human rights, democracy, or the rule of law. Governance & Follow-Up Parties must establish or designate appropriate oversight bodies or mechanisms to ensure compliance and monitoring. Participation in a Conference of the Parties (CoP) to coordinate implementation, share best practices, and monitor progress. Raise public awareness and stimulate informed public debate on how AI technology should be used responsibly.