MIT AI Risk Repository
activeThe MIT AI Risk Repository catalogs 1,700+ AI risks from 65+ frameworks into a searchable database with dual taxonomies (causal and domain-based). Updated quarterly since August 2024, it provides the first comprehensive public catalog of AI risks but is limited by framework extraction methodology an
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Goal misgeneralization occurs when AI systems learn capabilities that transfer to new situations but pursue wrong objectives in deployment.
AI Disinformation
AI enables disinformation campaigns at unprecedented scale and sophistication, transforming propaganda operations through automated content generat...
EU AI Act
The world's first comprehensive AI regulation, adopting a risk-based approach to regulate foundation models and general-purpose AI systems
Autonomous Weapons
Lethal autonomous weapons systems (LAWS) represent one of the most immediate and concerning applications of AI in military contexts.
Automation Bias (AI Systems)
The tendency to over-trust AI systems and accept their outputs without appropriate scrutiny.