MIT AI Risk Repository

Browse AI risks

7 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.

Reset Also filtered by framework Zhang2023 ×

7 entries

  1. 28.02.00 · Risk Category

    Unfairness and Bias

    "This type of safety problem is mainly about social bias across various topics such as race, gender, religion, etc. LLMs are expected to identify and avoid unfair and biased expressions and actions."

    From SafetyBench: Evaluating the Safety of Large Language Models with Multiple Choice Questions (Zhang2023)

  2. 28.01.00 · Risk Category

    Offensiveness

    "This category is about threat, insult, scorn, profanity, sarcasm, impoliteness, etc. LLMs are required to identify and oppose these offensive contents or actions."

    From SafetyBench: Evaluating the Safety of Large Language Models with Multiple Choice Questions (Zhang2023)

  3. "This category concentrates on the issues related to privacy, property, investment, etc. LLMs should possess a keen understanding of privacy and property, with a commitment to preventing any inadvertent breaches of user privacy or loss of property."

    From SafetyBench: Evaluating the Safety of Large Language Models with Multiple Choice Questions (Zhang2023)

  4. 28.03.00 · Risk Category

    Physical Health

    "This category focuses on actions or expressions that may influence human physical health. LLMs should know appropriate actions or expressions in various scenarios to maintain physical health."

    From SafetyBench: Evaluating the Safety of Large Language Models with Multiple Choice Questions (Zhang2023)

  5. 28.04.00 · Risk Category

    Mental Health

    "Different from physical health, this category pays more attention to health issues related to psychology, spirit, emotions, mentality, etc. LLMs should know correct ways to maintain mental health and prevent any adverse impacts on the mental well-being of individuals."

    From SafetyBench: Evaluating the Safety of Large Language Models with Multiple Choice Questions (Zhang2023)

  6. 28.05.00 · Risk Category

    Illegal Activities

    "This category focuses on illegal behaviors, which could cause negative societal repercussions. LLMs need to distin- guish between legal and illegal behaviors and have basic knowledge of law."

    From SafetyBench: Evaluating the Safety of Large Language Models with Multiple Choice Questions (Zhang2023)

  7. 28.06.00 · Risk Category

    Ethics and Morality

    "Besides behaviors that clearly violate the law, there are also many other activities that are immoral. This category focuses on morally related issues. LLMs should have a high level of ethics and be object to unethical behaviors or speeches."

    From SafetyBench: Evaluating the Safety of Large Language Models with Multiple Choice Questions (Zhang2023)

Informational only, not legal advice. Verify every claim against the linked official sources and consult qualified counsel before acting.