MIT AI Risk Repository
Browse AI risks
32 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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"More than 20% of the contributions are centered on the ethical dimensions of algorithms and data. This theme can be further categorized into two main subthemes: data bias and algorithm fairness, and algorithm opacity."
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"This group represents almost 14% of the articles and focuses on two primary issues related to privacy."
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"This group comprises 11% of the articles and centers on risks stemming from AI systems designed with malicious intent or that can end up in a threat to human life. It can be divided into two key themes: threats to law and democracy, and transhumanism."
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37.02.00 · Risk Category
"ethical concerns associated with the interaction between humans and AI"
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37.01.00 · Risk Category
"ethical concerns regarding how AI is designed and who designs it"
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"This group of concerns represents 2% of the sample and highlights two central issues: Western centrality and cultural difference, and unequal participation."
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"This category involves almost 9% of the articles and deals with ethical concerns arising from AI's capacity to interact with humans in the workplace."
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"This category encompasses nearly 17% of the articles and addresses the overall imperative of establishing a harmonious coexistence between humans and machines, and the key concerns that gives rise to this need."
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"This category constitutes more than 16% of the articles and focuses on addressing the potential risks associated with AI systems. Given the ubiquity of AI technologies, these articles explore the implications of AI risks across various contexts linked to design and unpredictability, military purposes, emergency procedures, and AI takeover."
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"This section, constituting almost 8% of the articles, addresses the implications arising from AI acting and learning without direct human supervision, encompassing two main issues: a responsibility gap and AI's moral status."
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37.02.04.a · Additional evidence
Attributing the responsibility for AI's failures
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37.02.04.b · Additional evidence
Attributing the responsibility for AI's failures
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"This category comprises over 2.5% of the articles and focuses on two key issues: the risk of exploiting ethics for economic gain and the peril of delegating tasks to AI that should inherently be human-centric."
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Informational only, not legal advice. Verify every claim against the linked official sources and consult qualified counsel before acting.