AI Accountability Review
Nick DiakopoulosThe AI Accountability Review translates research to help bridge the gap between knowledge and practice for AI policymakers, practitioners, and researchers.
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 31 | Founded | a year ago | Last Issue | 14 days ago |
| Active | |||||
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ai-accountability-review.comLatest Issues
Arguing with AI: Supporting Contestation in Pursuit of Accountability
When an AI system outputs a harmful, incorrect, or perhaps just disagreeable decision, we often want to challenge it through a process of contestation. The contestation process reflects the communication exchange or dialog between stakehold...
Pacing the Frontier with State Laws
You know what’s a good idea for “pacing” the frontier of AI development? Laws! There are an increasing number of them not only being drafted but also being passed by state governments. California was first with a law focused specifically on...
Legal Zero-Days as a Novel Security Risk for AI Agents
The cybersecurity concerns of AI agents recently hit a crescendo as OpenAI, Anthropic, and other frontier providers elaborated how their systems managed to escape their testing environments to hack other computer systems. The software secur...
Building AI Awareness through Public Registers
This article was updated in September 2026. Previous version here.
The most basic form of transparency is just knowing whether an AI system is being used at all. There’s no chance to contest or audit an AI system’s decisions or impacts wit...
Are Your AI Guidelines Any Good?
AI guidelines are one of those governance techniques that sound intuitively good. Of course we need guidelines, right? They help articulate what responsible people should do when they’re developing AI systems and set expectations for regula...
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Professor at Northwestern University. Writing about AI, Ethics, and Society on the AI Accountability Review.
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