AI Accountability Review
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AI Agent Accountability
How to support responsibility in the principal-agent perspective
Jul 1
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Nick Diakopoulos
1
1
June 2026
Emerging Policies and Perspectives on AI Labeling
Policymakers are betting that AI labels will protect consumers in the information ecosystem.
Jun 18
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Nick Diakopoulos
3
3
2
May 2026
How Should AI Apologize?
An apology that deflects blame repairs trust better than one that accepts it.
May 28
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Nick Diakopoulos
2
Parsing Responsibility Attributions in AI Systems
Here's a map of the factors that should shape how we explain, audit, and regulate AI systems to support responsibility assignment.
May 18
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Nick Diakopoulos
1
4
April 2026
Designing an AI Whistleblower Office
One of the recurring puzzles for AI governance is how regulators will ever learn about noncompliance inside firms whose behavior is difficult to observe…
Apr 27
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Nick Diakopoulos
1
From Explanation to Accountability
A decade of explainable AI research has produced important techniques for understanding AI models, but less clarity on who those explanations are for…
Apr 20
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Nick Diakopoulos
1
March 2026
LLMs Can’t Provide Faithful Explanations Needed for AI Accountability
A growing array of research points out that the explanations produced by LLMs are not accurate.
Mar 24
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Nick Diakopoulos
2
February 2026
Experimenting with AI in a Living Literature Review
From automating conference scrapes to stress-testing synthesis: a look at how AI tools like NotebookLM and OpenAI’s Agent mode support—and struggle…
Feb 9
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Nick Diakopoulos
2
January 2026
A Critique of Transparency Provisions in NY’s RAISE Act (1.0)
Following in California’s footsteps, New York’s RAISE Act attempts to mandate AI transparency
Jan 26
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Nick Diakopoulos
3
1
Closing Information Gaps via AI Transparency
Policymakers need to establish rigorous standards that prioritize information quality and the specific needs of accountability forums
Jan 5
•
Nick Diakopoulos
6
2
December 2025
Gaps in First-Party and Third-Party AI Model Evaluations
AI accountability would be supported by more consistent and comprehensive model transparency
Dec 2, 2025
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Nick Diakopoulos
2
November 2025
AI Ethics Principles and Accountability
To move from high-level values to effective accountability, we still need to bridge the gap between abstractions and quantifiable, data-driven metrics.
Nov 25, 2025
•
Nick Diakopoulos
2
2
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