UCI (Indonesia)
Responses
In your opinion, what outcomes would make the first Global Dialogue on AI Governance a success?
Concrete agenda or efforts to move beyond principles to practices, i.e. binding or semi-binding interoperability standards between national frameworks (to avoid "shopping" for weakest regulatory jurisdiction), shared auditing mechanism -- not just self-reporting by AI developers, and -- mostly relevant due today's geopolitics: how can the dialogue remain meaningful when major AI powers opt out?
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?
- Interoperability of governance approaches
- Transparency, accountability, and human oversight
- Open-source software, open data and open AI models
Please briefly explain your selection.
These three (interop, transparency, and open access) can be the umbrella toward meaningful result of this dialogue. They enable all parties to step-up their AI involvement at the global level.
In your opinion, are there any cross-cutting or emerging issues not captured by the listed themes above? If so, please explain.
Not that I can think of at the moment.
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.
With no clear and interoperable framework, countries tend to pick and choose either the "safest" approach in term of AI governance and regulation or just playing with normative statements that are not grounded in practice (that's why bringing practice to principles is important). It is also usually not preventing the risk of AI power being abused by the state againts the society.
What role can the AI Dialogue play in advancing international cooperation on AI governance?
Initiating two type of working group groups that aim to transform principles to practices: (1) regional or similar demographic group -- from different continents; and (2) group with mixed members -- that can be covered also by this bigger dialogue group
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?
Partnership with local or regional groups, make them as local/regional champion and give them global boost, i.e. in Southeast Asia, the Dialogue can work with group such as Tech for Good Initiative (sponsored by Grab, the regional unicorn) or university-based research group such as Center for Digital Society at Universitas Gadjah Mada in Indonesia. Again it aims to bridge the principles to practice and providing some sort of local/regional "arm" for this Dialogue.
How can different stakeholders contribute to the AI Dialogue? Please share recommendations for the format and structure of the AI Dialogue.
Give the discussion points in advance, asked the stakeholders to provide written input, conduct some sort of online polling to identify/prioritize which inputs are the most relevant or interesting, and use the live event to discuss this selected or prioritized topic.
Which voices, communities, or perspectives are currently underrepresented in global discussions on AI governance? How could they be included?
The voice of indigineous or under represented communities. They can be included by having the local/regional arm or sub-dialogue that I mentioned before.
What innovative engagement formats could most effectively foster meaningful and dynamic engagement during the AI Dialogue?
Same with my answer for point #15: Give the discussion points in advance, asked the stakeholders to provide written input, conduct some sort of online polling to identify/prioritize which inputs are the most relevant or interesting, and use the live event to discuss this selected or prioritized topic.
Please share examples of policies, practices, platforms, or approaches that promote effective AI governance or offer concrete solutions to addressing its challenges.
3
AI Verify Toolkit and Project Moonshoot in Singapore, AI Playbook for Small States (partnership between Singapore and Rwanda), AI Sandboxing platform (many countries)