MIT AI Risk Repository

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9 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.

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9 entries

  1. "The decision process used by AI systems has the potential to present biased choices, either because it acts from criteria that will generate forms of bias or because it is based on the history of choices."

    From Social Impacts of Artificial Intelligence and Mitigation Recommendations: An Exploratory Study (Paes2023)

  2. 10.02.00 · Risk Category

    Risk of Injury

    "Poorly designed intelligent systems can cause moral, psychological, and physical harm. For example, the use of predictive policing tools may cause more people to be arrested or physically harmed by the police."

    From Social Impacts of Artificial Intelligence and Mitigation Recommendations: An Exploratory Study (Paes2023)

  3. "The risks associated with the use of AI are still unpredictable and unprecedented, and there are already several examples that show AI has made discriminatory decisions against minorities, reinforced social stereotypes in Internet search engines and enabled data breaches."

    From Social Impacts of Artificial Intelligence and Mitigation Recommendations: An Exploratory Study (Paes2023)

  4. "AI is providing more and more solutions for complex activities, and by taking advantage of this process, people are becoming able to perform a greater number of activities more quickly and accurately. However, the result of this innovation is enabling choices that were once exclusively human responsibility to be made by AI systems."

    From Social Impacts of Artificial Intelligence and Mitigation Recommendations: An Exploratory Study (Paes2023)

  5. "Eliminated jobs in various types of companies."

    From Social Impacts of Artificial Intelligence and Mitigation Recommendations: An Exploratory Study (Paes2023)

  6. 10.09.00 · Risk Category

    Environmental Impacts

    "The production process of these devices requires raw materials such as nickel, cobalt, and lithium in such high quantities that the Earth may soon no longer be able to sustain them in sufficient quantities."

    From Social Impacts of Artificial Intelligence and Mitigation Recommendations: An Exploratory Study (Paes2023)

  7. 10.05.00 · Risk Category

    Lack of transparency

    "In situations in which the development and use of AI are not explained to the user, or in which the decision processes do not provide the criteria or steps that constitute the decision, the use of AI becomes inexplicable."

    From Social Impacts of Artificial Intelligence and Mitigation Recommendations: An Exploratory Study (Paes2023)

  8. 10.07.00 · Risk Category

    Injustice

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