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Atinar Pty Ltd

Private Sector Asia and the Pacific

Responses

In your opinion, what outcomes would make the first Global Dialogue on AI Governance a success?

Action plan for making AI accountability a mandate across boards in UN member states Action plan for critical incident response protocols for cross-border AI incidents A global framework for AI covering safety, security, sovereignty, sustainability, supervision, scalability, standardisation, scalability and systemisation Action plan for non G20 countries to be protected from coordinated AI interference from AI powered nations Tabulation and Recognition of High Risk AI capability behaviour by massive superpowers including US and China Proposal for a non-proliferation treaty in AI beyond a set limit and governing AI research.

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
  • Social, economic, ethical, cultural, linguistic and technical implications of AI
  • Interoperability of governance approaches
  • Transparency, accountability, and human oversight

Please briefly explain your selection.

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There is an imminent need to recognise the widespread implications of self-regulated AI experiments. This has to undepinned by formulation of cross-border interoperable governance mechanisms which provides parity and balance to developing and non-tier 1 AI super power nations. This governance mechanism should intend to bring in necessary transparency and accountability in AI research, and deployment. Human supervision is critical in building safe and secure AI which is also sustainable, scalable. AI capability building and open source AI can be regulated once these frameworks are in place to ensure trustworthy AI which puts human ahead of everything else.

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.

Clarity in policy and governance guidelines in counterintuitively stalling AI innovation. Organisations are unsure of upcoming policy changes and experimenting with AI in the fringes. This is resulting in productivity decline. Also, this trend is causing individual actors to bring their own AI into workplace and public service settings, resulting in potential leak of sensitive data and exposing critical services/data to AI induced cyber attack.

What role can the AI Dialogue play in advancing international cooperation on AI governance?

AI Dialogue can kick start the implementation of well defined action plans on various topics including AI governance and accountability mandates, cross-border AI incidents, AI impact on non-G20 nations, Safeguards for Bio and Chemical hazards induced by AI and

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?

Formalise AI Governance as a mandate.

How can different stakeholders contribute to the AI Dialogue? Please share recommendations for the format and structure of the AI Dialogue.

8 Action Committees focused on AI Systems (Capacity, Incidents, Tracking, Audit) , AI Standards (Governance, Accountability), AI Safety (Bio, Chemical, Nuclear), AI Security (Hacking, Autonomous Cyber Agents), AI Sustainability (ESG, Long Term impact on Pedagogy), AI Sovereignty (Data Residency, Cross-border protocols, Jurisdiction), AI Supervision (Human AI oversight, Human in the Loop), AI Scalability (Productivity in 3rd World, Scalability of Governance)

Which voices, communities, or perspectives are currently underrepresented in global discussions on AI governance? How could they be included?

All risk averse voices are under-represented. The long list includes 3rd world nations, non-evangelistic AI policy makers, AI governance practitioners, AI safety champions, AI sovereignty supporters.

What innovative engagement formats could most effectively foster meaningful and dynamic engagement during the AI Dialogue?

Our experience in facilitating such sessions, suggest that human centred design thinking techniques and workshops for ideating and converging on solution options will ensure that all voices get equal opportunity to articulate their point of view and democratic voting process are utilised to arrive at commonly grounded solution approach

Please share examples of policies, practices, platforms, or approaches that promote effective AI governance or offer concrete solutions to addressing its challenges.

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NIST RMF - https://csrc.nist.gov/projects/risk-management/about-rmf ISO 23894 - https://www.iso.org/standard/77304.html ISO 42001 Atinar S8 Framework - https://zenodo.org/records/19412189 NAIC 6AI - https://www.industry.gov.au/publications/guidance-for-ai-adoption EU AI Act - https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai trustfor.ai - https://trustfor.ai Vanta