TrendAI a business unit of TrendMicro
Responses
In your opinion, what outcomes would make the first Global Dialogue on AI Governance a success?
Reduce global disparities in AI accessibility and output equity create a road map to close the gap between AI-served and AI-excluded populations.
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?
- AI capacity-building
- Safe, secure and trustworthy AI
- Transparency, accountability, and human oversight
- Open-source software, open data and open AI models
Please briefly explain your selection.
AI is a necessity, it is important to make AI-assisted access to information a measurable public good, the way access to food, electricity and the internet have been before it.
In your opinion, are there any cross-cutting or emerging issues not captured by the listed themes above? If so, please explain.
1
First of all it is important to give all nations access to AI, which should be available and guaranteed at least at particular level and for particular tasks for every nation.
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 key vendors of AI models are distributed among just several countries. We are seeing limited points of views, biases and visibility gaps into the region specific topics in AI outputs
What role can the AI Dialogue play in advancing international cooperation on AI governance?
It could be a global platform for discussions on the key topics. I think creation of the working groups and running round tables with focus on AI issues, including Universal Minimum AI Access Standard, creation of Evidence-Based Bias Taxonomy, development of Global AI Accessibility Standards and AI Equity Benchmark: Continuous Global Monitoring would be a good starting point.
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?
As a company, we did quite deep research on bias, limitations in the understanding of regional societal and cultural values by AI models. Also within Project Resilience working group, we drafted a proposal for PROJECT ISONOMIA - Ensuring Equitable Global AI Access https://project-resilience.github.io/platform/proposals/equitable_ai_access.html
How can different stakeholders contribute to the AI Dialogue? Please share recommendations for the format and structure of the AI Dialogue.
There might be a synergy here between policy makers, researchers and representatives of different societies and social groups. Only together is would be possible to move this in the right direction.
Which voices, communities, or perspectives are currently underrepresented in global discussions on AI governance? How could they be included?
There are several efforts among Infosecurity community, like a Coalition for Secure AI (CoSAI), OWASP GenAI Security Project, and similar expert groups where this problem is approached, while those expert should have opportunity to work together with key stake holders at the events like this one or AI for Good, to help to address the issues we are currently observing
What innovative engagement formats could most effectively foster meaningful and dynamic engagement during the AI Dialogue?
Round tables and world cafe formats among technical experts, politicians and key stake holders and regulators
Please share examples of policies, practices, platforms, or approaches that promote effective AI governance or offer concrete solutions to addressing its challenges.
2
ITU, IEEE group 7999, Coalition for Secure AI having variety of efforts, some other similar organisations, many recommendations are at development stage