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Unreliable source attribution risk for AI

Unreliable source attribution risk for AI

Risks associated with output


Source attribution is the AI system's ability to describe from what training data it generated a portion or all its output. Since current techniques are based on approximations, these attributions might be incorrect.

Why is unreliable source attribution a concern for foundation models?

Low quality explanations make it difficult for users, model validators, and auditors to understand and trust the model.

Parent topic: AI risk atlas

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