MIT AI Risk Repository

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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.

1 entry

  1. 30.04.04 · Risk Sub-Category

    Resistance to Misuse

    Copyright

    The memorization effect of LLM on training data can enable users to extract certain copyright-protected content that belongs to the LLM’s training data.

    From Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)

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