AI Accountability Review
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How California’s New AI Law Supports Accountability
California's new AI law takes a "better safe than sorry" approach, creating prospective accountability for catastrophic risks from the world's most…
Oct 1
•
Nick Diakopoulos
1
September 2025
Robots.txt as a Lever for AI Accountability
Could common law around contracts and negligence provide for legal accountability?
Sep 23
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Nick Diakopoulos
1
SEC 10-K Disclosures as a Route to Corporate AI Accountability?
There's some value to them, but policy needs to call for more specific statements
Sep 16
•
Nick Diakopoulos
August 2025
The Media as Accountability Forum
How policymakers could help support the media's role in fostering a more accountable AI ecosystem.
Aug 26
•
Nick Diakopoulos
2
Translating Copyright Law into Standards for Accountable AI Training
A proposed “fair learning doctrine” shifts the copyright debate from substantial similarity detection to model training standards.
Aug 19
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Nick Diakopoulos
3
Prospective Accountability
A focus on prevention rather than blame offers a prudent alternative to classic conceptions of accountability
Aug 14
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Nick Diakopoulos
1
Could Autonomy Certificates Enable AI Accountability?
A new idea for documenting levels of autonomy in AI agents could also be a boon for accountability
Aug 4
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Nick Diakopoulos
1
July 2025
Reflexive Prompt Engineering as a Route to Accountability
Maybe how we prompt AI matters as much as how it's built
Jul 29
•
Nick Diakopoulos
1
The Problem of AI Accountability
How do we make sociotechnical AI systems answerable for their behavior?
Jul 21
•
Nick Diakopoulos
1
4
Introducing the AI Accountability Review
The AI Accountability Review translates research to bridge the gap between knowledge and practice for AI policymakers, practitioners, and fellow…
Jul 8
•
Nick Diakopoulos
8
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