MIT AI Risk Repository: A Living Database of Over 1,700 Categorized AI Risks
A bagel-shaped object. The form is there, the soul isn't.
Summary
A comprehensive living database cataloging over 1,700 AI risks, organized by their cause and risk domain. The database covers risks related to unfair treatment, harmful content exposure, and unequal AI performance across different groups and individuals. It includes risks from AI exposing users to harmful, abusive, unsafe, or inappropriate content such as hate-speech, violence, extremism, illegal acts, and child sexual abuse material.
Key quotes
· 3 pulledRisks related to unfair treatment, harmful content exposure, and unequal AI performance across different groups and individuals.
AI exposing users to harmful, abusive, unsafe or inappropriate content.
Examples of toxic content include hate-speech, violence, extremism, illegal acts, child sexual abuse material, as well as content that violates community norms such as profanity.
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