MIT AI Risk Repository
Browse AI risks
1 risk entries extracted from 74 frameworks, coded by domain, subdomain, causal entity, intent and timing. Filter, then export the current selection with its licence and citation attached.
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"It is important to include the perspectives or concerns of communities that are affected by model outcomes when designing and building models. Failing to include these perspectives makes it difficult to understand the relevant context for the model and to engender trust within these communities."
Informational only, not legal advice. Verify every claim against the linked official sources and consult qualified counsel before acting.