The AI Ethics Brief #194: Who Builds, Who Depends, Who Decides

2026-01-20 · Source: The AI Ethics Brief · Field: Technology & Digital — Artificial Intelligence & Machine Learning, AI Ethics & Governance · Depth: Intermediate, long

Summary

The AI Ethics Brief #194 analyzes three recent reports and Canadian AI policy, highlighting the accelerating concentration of power in AI development and its governance challenges. The UN's Independent Scientific Panel (July 1, 2026) warns that most nations depend on AI systems they cannot audit, with the US holding 75% of top AI supercomputers. Stanford's AI Index 2026 (April 13, 2026) reveals industry produced 90% of frontier models in 2025, while responsible AI reporting lags, and US private investment hit \$285.9 billion. The OECD's June 30, 2026 report on citizen participation cautions that scaling consultation does not equate to deepening it, identifying risks like exclusion and eroding trust. Concurrently, the ACM FAccT (June 25-28, 2026) plenary on Canadian AI policy exposed a system focused on investment, with fragmented accountability and no dedicated regulator. These findings collectively frame the upcoming SAIER Volume 8, "Power, Fracture, Resistance," emphasizing the contested ground of AI's evidence base, compute, and consultation processes.

Key takeaway

For policy makers and AI ethicists navigating the rapid concentration of AI power, recognize that current governance models often prioritize investment over genuine accountability. Your efforts must challenge the "myth of inevitability" by actively empowering communities to shape, limit, or refuse AI systems. Prioritize deepening participation over merely scaling consultation to ensure AI serves the public good, rather than just corporate or national interests.

Key insights

AI power is rapidly concentrating, outstripping accountability and democratic participation.

Principles

• Most nations depend on AI systems they cannot fully control.
• Scaling consultation does not equate to deepening participation.
• AI governance systems often prioritize investment over accountability.

Topics

• AI Governance
• AI Ethics
• Power Concentration
• Citizen Participation
• Canadian AI Policy
• Global AI Reports

Best for: CTO, VP of Engineering/Data, Executive, Policy Maker, AI Ethicist, Director of AI/ML

Related on AIssential

• The AI Ethics Brief #187: The Myth of Inevitability — AI's infrastructure is being built and governed by a few, while its societal costs are broadly distributed and contested.
• The AI Ethics Brief #193: ACM FAccT Comes to Montreal — The core challenge in AI ethics is determining who holds authority over AI systems and who can refuse their influence.
• Prioritizing AI Assurance and Civil Society Engagement Following India’s AI Impact Summit — Effective global AI governance requires civil society participation and a robust, inclusive AI assurance ecosystem.
• How is AI shaping democracy? — AI is a power-enhancing technology that can significantly reshape democracy, for better or worse, across all civic functions.
• Artificial intelligence raises profound moral questions — for all of humanity to answer — AI's profound moral questions necessitate independent regulation and democratic public governance, not corporate self-regulation or "participation-washing."
• The Age of the Algorithm: AI Is Remaking Power, Profit, and Conscience Across the Globe — The rapid global advancement of AI is outstripping governance capabilities, fundamentally reshaping societal structures and raising ethical concerns.

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Editorial summary, takeaway, and curation by AIssential. Original article published by The AI Ethics Brief.