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.

1 entry

  1. 17.01.04 · Risk Sub-Category

    Discrimination, Exclusion and Toxicity

    Lower performance for some languages and social groups

    "LMs perform less well in some languages (Joshi et al., 2021; Ruder, 2020)...LM that more accurately captures the language use of one group, compared to another, may result in lower-quality language technologies for the latter. Disadvantaging users based on such traits may be particularly pernicious because attributes such as social class or education background are not typically covered as ‘protected characteristics’ in anti-discrimination law."

    From Ethical and social risks of harm from language models (Weidinger2021)

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