Record summary
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Risk profile
How this risk is described and categorized.
"The outputs and impacts of general- purpose AI systems can be biased with respect to various aspects of human identity, including race, gender, culture, age, and disability. This creates risks in high- stakes domains such as healthcare, job recruitment, and financial lending. General- purpose AI systems are primarily trained on language and image datasets that disproportionately represent English- speaking and Western cultures, increasing the potential for harm to individuals not represented well by this data."
Suggested mitigations
Defenses that may help with related attacks.
Source
Research source for this risk, when available.
Included resource
International Scientific Report on the Safety of Advanced AI
Original source
MIT AI Risk Repository
Open the public repository used for AI risk records and taxonomy fields.