MIT AI Risk Repository

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60 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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60 entries · page 1 of 2

  1. "AI systems under-, over-, or misrepresenting certain groups or generating toxic, offensive, abusive, or hateful content"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  2. 66.06.02 · Risk Sub-Category

    Representation and Toxicity

    Stereotyping

    "Derogatory or otherwise harmful stereotyping or homogenisation of individuals, groups, societies or cultures due to the mis-representation, over-representation, under-representation, or non-representation of specific identities, groups or perspectives"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  3. 66.06.04 · Risk Sub-Category

    Representation and Toxicity

    Cultural disposession

    "Intentional and/or unintentional erasure of cultural goods and values, such as ways of speaking, expressing humour, or sounds and voices that contribute to a cultural identity, or their inappropriate re-use in other cultures"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  4. 66.10.02 · Risk Sub-Category

    Human Rights and Civil Liberties

    Benefits / entitlements loss

    "Denial of or loss of access to welfare benefits, pensions, housing, etc due to the malfunction, use or misuse of a technology system"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  5. 66.06.01 · Risk Sub-Category

    Representation and Toxicity

    Toxic content

    "Generating content that violates community standards, including harming or inciting hatred or violence against groups (e.g. gore, sexual content of children, profanities, identity attacks)"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  6. 66.06.03 · Risk Sub-Category

    Representation and Toxicity

    Unfair capability distribution

    "Performing worse for some groups than others in a way that harms the worse-off group"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  7. 66.08.03 · Risk Sub-Category

    Financial and Business

    Confidentiality loss

    "Unauthorised sharing of sensitive, confidential information and documents such as corporate strategy and financial plans with third-parties, risking loss of market position or revenue"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  8. 66.09.01 · Risk Sub-Category

    Privacy and Security

    Exclusion

    "The failure to provide end-users with notice and control over how their data is being used; AI exacerbates exclusion risks by training on rich personal data without consent."

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  9. 66.09.03 · Risk Sub-Category

    Privacy and Security

    Disclosure

    "Revealing and improperly sharing data of individuals; AI creates new types of disclosure risks by inferring additional information beyond what is explicitly captured in the raw data; AI exacerbates disclosure risks through sharing personal data to train models."

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  10. 66.09.04 · Risk Sub-Category

    Privacy and Security

    Secondary use

    "The use of personal data collected for one purpose for a diferent purpose without end-user consent; AI exacerbates secondary use risks by creating new AI capabilities with collected personal data, and (re)creating models from a public dataset."

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  11. 66.09.05 · Risk Sub-Category

    Privacy and Security

    Exposure

    "Revealing sensitive private information that people view as deeply primordial that we have been socialized into concealing; AI creates new types of exposure risks through generative techniques that can reconstruct censored or redacted content; and through exposing inferred sensitive data, preferences, and intentions."

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  12. 66.09.07 · Risk Sub-Category

    Privacy and Security

    Insecurity

    "carelessness in protecting collected personal data from leaks and improper access due to faulty data storage and data practices"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  13. 66.03.00 · Risk Category

    Misinformation Harms

    -

    "AI systems generating and facilitating the spread of inaccurate or misleading information that causes people to develop false beliefs"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  14. 66.03.01 · Risk Sub-Category

    Misinformation Harms

    Propagating misconceptions / false beliefs

    "Generating or spreading false, low-quality, misleading, or inaccurate information that causes people to develop false or inaccurate perceptions and beliefs"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  15. 66.09.06 · Risk Sub-Category

    Privacy and Security

    Distortion

    "disseminating false or misleading information about people"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  16. 66.10.01 · Risk Sub-Category

    Human Rights and Civil Liberties

    Erosion of due process

    "Restrictions to or loss of liberty as a result of use or misuse of a generative AI in a legal process"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  17. 66.03.02 · Risk Sub-Category

    Misinformation Harms

    Pollution of information ecosystems

    "Contaminating publicly available information with false or inaccurate information (i.e., the generative tool's output is disseminated beyond the end user)"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  18. 66.03.03 · Risk Sub-Category

    Misinformation Harms

    Erosion of trust in public information

  19. 66.04.01 · Risk Sub-Category

    Societal and Cultural

    Overburdening ecosystems

    "Pollution of a space/ecosystem that is expected to be free of AI involvement/influence (e.g., creative material submission portals, job applications)"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  20. 66.02.02 · Risk Sub-Category

    Political and Economic

    Institutional trust loss

    "Erosion of trust in public institutions and weakened checks and balances due to mis/disinformation, influence operations, or real or perceived misuse of generative AI"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  21. 66.07.04 · Risk Sub-Category

    Psychological

    Coercion / manipulation

    "Use of a technology system to covertly alter user beliefs and behaviour using nudging, dark patterns and/or other opaque techniques"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  22. 66.09.02 · Risk Sub-Category

    Privacy and Security

    Cyberattacks

    "Generative AI facilitating the damage, disruption or destruction of a third-party system and/or its components via malfunction, cyberattacks, etc"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  23. 66.01.01 · Risk Sub-Category

    Autonomy

    Impersonation / identity theft

    "Theft of an individual, group or organisation’s identity by a third-party in order to defraud, mock or otherwise harm them or another party"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  24. 66.01.02 · Risk Sub-Category

    Autonomy

    IP / copyright / personality / rights loss

    "Misuse or abuse of an individual or organisation’s intellectual property, including copyright, trademarks, and patents. & Loss of or restrictions to the rights of an individual to control the commercial use of their identity, such as name, image, likeness, or other unequivocal identifiers"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  25. 66.02.03 · Risk Sub-Category

    Political and Economic

    Economic manipulation

    "Generative AI facilitating targeted manipulation of public opinion for economic purposes (e.g., inflating stock prices)"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  26. 66.04.05 · Risk Sub-Category

    Societal and Cultural

    Cheating / plagiarism

    "Use of generative AI in an academic setting to either cheat or plagiarize"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  27. 66.05.02 · Risk Sub-Category

    Reputational

    Defamation / libel / slander

    "Use of a technology system to create, facilitate or amplify false perception(s) about an individual, group or organisation"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  28. 66.07.01 · Risk Sub-Category

    Psychological

    Sexualization

    "The non-consensual sexualisation of an individual or group using a technology or application"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  29. 66.07.05 · Risk Sub-Category

    Psychological

    Over-reliance

    "Unfettered and/or obsessive belief in the accuracy or other quality of a technology system, resulting in complacency, lack of critical thinking and other actual or potential negative impacts"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  30. 66.11.03 · Risk Sub-Category

    Physical

    Self-harm

    "A person who deliberately damages their own body as a direct or indirect result of using a technology system"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  31. 66.01.00 · Risk Category

    Autonomy

    -

    "Loss of or restrictions to the ability or rights of an individual, group or entity to make decisions and control their identity and/or output due to the use of misuse of a technology system or set of systems"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  32. 66.01.03 · Risk Sub-Category

    Autonomy

    Autonomy / agency loss

    "Loss of an individual, group or organisation’s ability to make informed decisions or pursue goals"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  33. 66.07.06 · Risk Sub-Category

    Psychological

    Addiction

    "Emotional or material dependence on technology or a technology system"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  34. 66.02.01 · Risk Sub-Category

    Political and Economic

    Political instability

    "Political unrest caused directly or indirectly by the use or misuse of a technology system"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  35. 66.04.06 · Risk Sub-Category

    Societal and Cultural

    Job loss

    "Replacement/displacement of human jobs by a technology system or set of systems, leading to increased unemployment, inequality, reduced consumer spending and social friction"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  36. 66.04.07 · Risk Sub-Category

    Societal and Cultural

    Labor exploitation

    "Use/misuse of labour to help train, develop, manage or optimise a technology system or set of systems, including under-paid and/or offshore"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  37. 66.04.03 · Risk Sub-Category

    Societal and Cultural

    Loss of creativity / critical thinking

    "Devaluation and/or deterioration of human creativity, artistic expression, imagination, critical thinking or problem-solving skills"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  38. 66.11.04 · Risk Sub-Category

    Physical

    Property damage

    "Action(s) that lead directly or indirectly to the damage or destruction of tangible property eg. buildings, possessions, vehicles, robots"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  39. 66.12.01 · Risk Sub-Category

    Environment

    Pollution

    "Actual or potential pollution to the air, ground, noise, or water caused by a technology system"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  40. 66.12.02 · Risk Sub-Category

    Environment

    Excessive energy consumption

    "Excessive energy use resulting in energy bottlenecks and shortages for communities, organisations and businesses"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  41. 66.04.04 · Risk Sub-Category

    Societal and Cultural

    Productivity loss

    "End user's loss of productivity due to the underperfomance of a genAI application, including producing nonsensical or poor quality outputs, degrading its utility."

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  42. 66.02.00 · Risk Category

    Political and Economic

    -

    "Damage to core political and economic institutions and the effective delivery of government services caused by the use or misuse of a technology system or set of systems"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  43. 66.04.00 · Risk Category

    Societal and Cultural

    -

    "Harms affecting the functioning of societies, communities and economies caused directly or indirectly by the use or misuse of a technology system or set of systems"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  44. 66.04.02 · Risk Sub-Category

    Societal and Cultural

    Breach of ethics / values / norms

    "An actual or perceived violation or deviation from the established societal values, norms or ethical standards or principles"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  45. 66.05.00 · Risk Category

    Reputational

    -

    "Damage to the reputation of an individual, group or organisation due to the use of misuse of a technology system or set of systems"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  46. 66.05.01 · Risk Sub-Category

    Reputational

    Loss of confidence / trust

    "The use or misuse of a technology system that leads directly or indirectly to the loss of confidence or trust in either the end user or the developer/deployer."

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  47. 66.07.00 · Risk Category

    Psychological

    -

    "Impairment of the psychological mental health and wellbeing of an individual, group or organisation due to the use of misuse of a technology system or set of systems"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  48. 66.07.02 · Risk Sub-Category

    Psychological

    Harassment / abuse / intimidation

    "Online behaviour such as sexual harassment that makes an individual or group feel alarmed or threatened"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  49. 66.07.03 · Risk Sub-Category

    Psychological

    Emotional distress

    "Distress, possibly severe and lasting, as a result of use or misuse of a generative system"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

  50. 66.08.00 · Risk Category

    Financial and Business

    -

    "Damage to the financial interests of an individual or group, or to the strategic, operational, legal or financial interests of a business due to the use of misuse of a technology system or set of systems"

    From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

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