Global Trends Analysis: Aligning AI Governance Globally – Lessons from Current Practice

By Amandeep Singh Gill

Considering data and artificial intelligence (AI) as global commons could be crucial in ensuring that these key technologies of the 21st century benefit all of humanity. However, fragmented efforts of AI development and governance across the world risk diluting the effectiveness of a global commons approach. Recent experience of AI governance in the three domains of armed conflict, education and health clearly shows that the AI governance problem goes above and beyond unbiased data, transparency and explainability of algorithms. Systems think- ing is needed to identify the limitations and trade-offs at each stage of AI development, reinforce human responsibility and accountability, and provide for post-deployment feedback into policy. Public officialsneed this lifecycle understanding of AI as well as new tools to audit AI systems nationally on an ongoing basis. Globally, acommons approach, shared vocabulary and values, benchmarks and digital public infrastructures can be powerful ways to aligndiverse approaches to AI governance and incentivise compliance.

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