The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence

Understand

Artificial intelligence (AI) is reshaping society, from video generation to medical diagnosis, coding agents to autonomous vehicles.

• Yet researchers, policymakers, and technology companies lack shared terminology for discussing AI risks.
• Consider "privacy": one framework uses this term to describe a model's ability to leak sensitive training data, while another uses it to mean freedom from government surveillance.
• Conversely, researchers have introduced "Goodhart's law," "specification gaming," "reward hacking," and "mesa-optimization" to describe the same phenomenon of AI systems optimizing for measured proxies rather than intended goals.