MIT AI Risk Repository

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2,500 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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2,500 entries · page 18 of 50

  1. 24.06.04 · Risk Sub-Category

    Appropriate Relationships

    Generating material dependence without adequate commitment to user needs

    "In addition to emotional dependence, user–AI assistant relationships may give rise to material dependence if the relationships are not just emotionally difficult but also materially costly to exit. For example, a visually impaired user may decide not to register for a healthcare assistance programme to support navigation in cities on the grounds that their AI assistant can perform the relevant navigation functions and will continue to operate into the future. Cases like these may be ethically problematic if the user’s dependence on the AI assistant, to fulfil certain needs in their lives, is

    From The Ethics of Advanced AI Assistants (Gabriel2024)

  2. 24.09.03 · Risk Sub-Category

    Cooperation

    Collective action problems

    "Collective action problems are ubiquitous in our society (Olson Jr, 1965). They possess an incentive structure in which society is best served if everyone cooperates, but where an individual can achieve personal gain by choosing to defect while others cooperate. The way we resolve these problems at many scales is highly complex and dependent on a deep understanding of the intricate web of social interactions that forms our culture and imprints on our individual identities and behaviours (Ostrom, 2010). Some collective action problems can be resolved by codifying a law, for instance the social

    From The Ethics of Advanced AI Assistants (Gabriel2024)

  3. 33.01.03 · Risk Sub-Category

    Ethical Concerns

    Over-reliance

    "The apparent convenience and powerfulness of ChatGPT could result in overreliance by its users, making them trust the answers provided by ChatGPT. Compared with traditional search engines that provide multiple information sources for users to make personal judgments and selections, ChatGPT generates specific answers for each prompt. Although utilizing ChatGPT has the advantage of increasing efficiency by saving time and effort, users could get into the habit of adopting the answers without rationalization or verification. Over-reliance on generative AI technology can impede skills such as cre

    From Generative AI and ChatGPT: Applications, Challenges, and AI-Human Collaboration (Nah2023)

  4. 35.02.00 · Risk Category

    Enfeeblement

    As AI systems encroach on human-level intelligence, more and more aspects of human labor will become faster and cheaper to accomplish with AI. As the world accelerates, organizations may voluntarily cede control to AI systems in order to keep up. This may cause humans to become economically irrelevant, and once AI automates aspects of many industries, it may be hard for displaced humans to reenter them

    From X-Risk Analysis for AI Research (Hendrycks2022)

  5. 38.04.00 · Risk Category

    Human–AI interaction

    "Several participants mentioned how AI systems could influence human agency and decision-making. They emphasized the need of striking a balance between using the benefits of AI and protecting human autonomy and control. The increasing integration of AI systems into various aspects of our lives, which can have a significant impact on human agency and decision-making, has raised ethical concerns about AI and human–AI interaction. As AI systems advance, they will be able to influence, if not completely replace, IJOES human decision-making in some fields, prompting concerns about the loss of human

    From Ethical Issues in the Development of Artificial Intelligence: Recognizing the Risks (Kumar2023)

  6. 45.02.12 · Risk Sub-Category

    Safety risks in AI Applications

    Ethical Risks (Risks of challenging traditional social order)

    "The development and application of AI may lead to tremendous changes in production tools and relations, accelerating the reconstruction of traditional industry modes, transforming traditional views on employment, fertility, and education, and bringing challenges to the stable performance of traditional social order."

    From AI Safety Governance Framework (TC2602024)

  7. 50.01.05 · Risk Sub-Category

    System and Operational Risks

    Operational misuses (Autonomous unsafe operation of systems)

  8. 52.03.03 · Risk Sub-Category

    Systemic Risks

    Disruptions from Outpaced Societal Adaptation

    "Although the implementation of general purpose AI models as automation tools could be a major opportunity, overly rapid adoption of this technology at scale might outpace the ability of society to adapt effectively. This could lead to a variety of disruptions, including challenges in the labour market, the education system and public discourse, and various mental health concerns."

    From Governing General Purpose AI: A Comprehensive Map of Unreliability, Misuse and Systemic Risks (Maham2023 )

  9. 53.03.02 · Risk Sub-Category

    Direct catastrophe from AI

    Gradual, irretrievable ceding of human power over the future to AI systems

  10. 55.02.02 · Risk Sub-Category

    Worsened conflict

    AI enables automation of military decision-making

    "One concern here is humans not remaining in the loop for some military decisions, creating the possibility of unintentional escalation because of: • Automated tactical decision-making, by ‘in-theatre’ AI systems (e.g. border patrol systems start accidentally firing on one another), leading to either: tactical-level war crimes,11 or strategic-level decisions to initiate conflict or escalate to a higher level of intensity—for example, countervalue (e.g. city-) targeting, or going nuclear [62]. • Automated strategic decision-making, by ‘out-of-theatre’ AI systems—for example, conflict prediction

    From A Survey of the Potential Long-term Impacts of AI: How AI Could Lead to Long-term Changes in Science, Cooperation, Power, Epistemics and Values (Clarke2023)

  11. 55.02.03 · Risk Sub-Category

    Worsened conflict

    AI-induced strategic instability

    "For example, AI could undermine nuclear strategic stability by making it easier to discover and destroy previously secure nuclear launch facilities [30, 46, 49]. AI may also offer more extreme first-strike advantages or novel destructive capabilities that could disrupt deterrence, such as cyber capabilities being used to knock out opponents’ nuclear command and control [15, 29]. The use of AI capabilities may make it less clear where attacks originate from, making it easier for aggressors to obfuscate an attack, and therefore reducing the costs of initiating one. By making it more difficult t

    From A Survey of the Potential Long-term Impacts of AI: How AI Could Lead to Long-term Changes in Science, Cooperation, Power, Epistemics and Values (Clarke2023)

  12. 56.18.00 · Risk Category

    Overreliance

    "As AI capability increases, humans grant AI more control over critical systems and eventually become irreversibly dependent on systems they don’t fully understand. Failure and unintended outcomes cannot be controlled."

    From Future Risks of Frontier AI (GOS2023)

  13. 58.01.00 · Risk Category

    Autonomy

    "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."

    From A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  14. 58.01.01 · Risk Sub-Category

    Autonomy

    Autonomy/agency loss

    "Autonomy/agency loss - Loss of an individual, group or organisation’s ability to make informed decisions or pursue goals."

    From A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  15. 58.01.04 · Risk Sub-Category

    Autonomy

    Personality rights loss

    "Personality rights loss - 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 Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  16. 61.01.10 · Risk Sub-Category

    Types of systemic risks from general-purpose AI

    Irreversible change

    "Profound negative long-term changes to social structures, cultural norms, and human relationships that may be difficult or impossible to reverse."

    From A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)

  17. 61.02.35 · Risk Sub-Category

    Sources of systemic risks from general-purpose AI

    Limited human oversight in decisions

    "As AI models and systems gain autonomy, the ability of humans to oversee and intervene in decision-making processes diminishes."

    From A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)

  18. 61.02.39 · Risk Sub-Category

    Sources of systemic risks from general-purpose AI

    Personal decision automation capabilities

    "AI models and systems could decide or influence important personal decisions."

    From A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)

  19. 62.31.02#1 · Risk Sub-Category

    Impacts of AI (Societal Impacts)

    Overreliance on AI system undermining user autonomy

    "AI systems can undermine human autonomy, if they allow for habitually trusting the AI’s suggestions without sufficient exercising of human agency. Over time, a user may develop unjustified trust in or dependence on the system, or rely on its advice for tasks outside the system’s domain of expertise [205, 42]. In particular, less confident users (or users in emotional distress) can be more prone to “overtrust” a system [219]."

    From Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024)

  20. 62.36.06 · Risk Sub-Category

    Impacts of AI (Bias)

    Long-term effects of AI model biases on user judgment

    "The initial user exposure to model biases can have a lasting impact beyond the initial interaction with the model. Users who encounter biases in AI models can be affected by and continue to exhibit previously encountered biases in their decision-making, even after they stop using the models [207]."

    From Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024)

  21. 65.23.08 · Risk Sub-Category

    Non-technical risks (Societal impact)

    Impact on human agency

    "AI might affect the individuals’ ability to make choices and act independently in their best interests."

    From AI Risk Atlas (IBM2025)

  22. 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)

  23. 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)

  24. 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)

  25. 67.04.00 · Risk Category

    Loss of control

    -

    "Humans may increasingly hand over control of important decisions to AI systems, due to economic and geopolitical incentives. Some experts are concerned that future advanced AI systems will seek to increase their own influence and reduce human control, with potentially catastrophic consequences - although this is contested."

    From Capabilities and Risks from Frontier AI (DSIT2023)

  26. 67.04.01 · Risk Sub-Category

    Loss of control

    Humans might increasingly hand over control to misaligned AI systems

    "Organisations around the world are already deploying misaligned AI systems that are causing harm in unexpected ways.250 Recommendation algorithms increase the consumption of extremist content.251 Medical algorithms have been known to misdiagnose US patients,252 and recommend incorrect prescriptions.253 Still, we hand over more control to them, often because they are still as - or more - effective than human decision making, or because they are cheaper."

    From Capabilities and Risks from Frontier AI (DSIT2023)

  27. "Gradual or accumulative loss of control risks can be described as risks resulting from the accumulation of less severe disruptions that gradually weakens systemic resilience until a critical event triggers a catastrophe [12], [127]."

    From Dimensional Characterization and Pathway Modeling for Catastrophic AI Risks (Chin2025)

  28. 68.04.00a · Additional evidence

    Gradual loss of control

    "Risk dimensions • Intent: Unintentional • Competency: Variable • Entity: Variable • Polarity: Multi-agent • Linearity: Non-linear • Reach: Internalized • Order: Variable"

    From Dimensional Characterization and Pathway Modeling for Catastrophic AI Risks (Chin2025)

  29. "Risks associated with scenarios in which one or more general-purpose AI systems come to operate outside of anyone's control, with no clear path to regaining control. This includes both passive loss of control (gradual reduction in human oversight) and active loss of control (AI systems actively undermining human control)"

    From Frontier AI Risk Management Framework (v1.0) (Tse2025)

  30. 72.02.01 · Risk Sub-Category

    Loss of Control Risks

    Passive loss of control

    "...where humans gradually stop exercising meaningful oversight due to automation bias, the AI systems' inherent complexity, or competitive pressures"

    From Frontier AI Risk Management Framework (v1.0) (Tse2025)

  31. 07.04.00 · Risk Category

    Structural

    "Structural risks are concerned with how AI technologies "shape and are shaped by the environments in which they are developed and deployed""

    From Examining the differential risk from high-level artificial intelligence and the question of control (Kilian2023)

  32. 11.05.00 · Risk Category

    Societal System Harms

    "Social system or societal harms reflect the adverse macro-level effects of new and reconfigurable algorithmic systems, such as systematizing bias and inequality [84] and accelerating the scale of harm [137]"

    From Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction (Shelby2023)

  33. "Addresses AI's broader societal effects, including labor displacement, mental health impacts, and issues from manipulative technologies like deepfakes. Additionally, it considers AI's environmental footprint, balancing resource strain and training-related carbon emissions against AI's potential to help address environmental problems."

    From AI Risk Profiles: A Standards Proposal for Pre-Deployment AI Risk Disclosures (Sherman2023)

  34. 15.02.00 · Risk Category

    Second-Order Risks

    "Second-order risks result from the consequences of first-order risks and relate to the risks resulting from an ML system interacting with the real world, such as risks to human rights, the organization, and the natural environment."

    From The Risks of Machine Learning Systems (Tan2022)

  35. 15.02.06 · Risk Sub-Category

    Second-Order Risks

    Organizational

    The risk of financial and/or reputational damage to the organization building or using the ML system.

    From The Risks of Machine Learning Systems (Tan2022)

  36. "LMs create some risks that recur with different types of AI and other advanced technologies making these risks ever more pressing. Environmental concerns arise from the large amount of energy required to train and operate large-scale models. Risks of LMs furthering social inequities emerge from the uneven distribution of risk and benefits of automation, loss of high-quality and safe employment, and environmental harm. Many of these risks are more indirect than the harms analysed in previous sections and will depend on various commercial, economic and social factors, making the specific impact

    From Taxonomy of Risks posed by Language Models (Weidinger2022)

  37. "Harms that arise from environmental or downstream economic impacts of the language model"

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

  38. "AI systems amplifying existing inequalities or creating negative impacts on employment, innovation, and the environment"

    From Sociotechnical Safety Evaluation of Generative AI Systems (Weidinger2023)

  39. "Beyond the risks associated with AI technology and its applications, and the legal challenges arising from its development, it is crucial to consider other long- term issues posed by the deployment of increasingly advanced generative AI models. These risks to society, sometimes referred to as “systemic risks,”537 encompass several key areas: the potential for excessive market concentration, the impacts on employment, environmental consequences, and broader risks to humanity."

    From Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024)

  40. 58.06.04 · Risk Sub-Category

    Human rights and civil liberties

    Loss of freedom of speech/expression

    "Loss of freedom of speech/expression - Restrictions to or loss of people’s right to articulate their opin- ions and ideas without fear of retaliation, censorship, or legal sanction."

    From A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  41. 58.06.05 · Risk Sub-Category

    Human rights and civil liberties

    Loss of freedom of assembly/association

    "Loss of freedom of assembly/association - Restrictions to or loss of people’s right to come together and collectively express, promote, pursue, and defend their collective or shared ideas, and/or to join an association."

    From A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  42. 58.06.06 · Risk Sub-Category

    Human rights and civil liberties

    Loss of social rights and access to public services

    "Loss of social rights and access to public services - Restrictions to or loss of rights to work, social secu- rity, and adequate standard of living, housing, health and education."

    From A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  43. 58.06.07 · Risk Sub-Category

    Human rights and civil liberties

    Loss of right to information

    "Loss of right to information - Restrictions to or loss of people’s right to seek, receive and impart information held by public bodies."

    From A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  44. 58.06.08 · Risk Sub-Category

    Human rights and civil liberties

    Loss of right to free elections

    "Loss of right to free elections - Restrictions to or loss of people’s right to participate in free elections at reasonable intervals by secret ballot."

    From A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  45. 58.06.09 · Risk Sub-Category

    Human rights and civil liberties

    Loss of right to liberty and security

    "Loss of right to liberty and security - Restrictions to or loss of liberty as a result of illegal or arbitrary arrest or false imprisonment."

    From A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  46. 58.06.10 · Risk Sub-Category

    Human rights and civil liberties

    Loss of right to due process

    "Loss of right to due process - Restrictions to or loss of right to be treated fairly, efficiently and effectively by the administration of justice."

    From A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  47. "Societal and Cultural - Harms affecting the functioning of societies, communities and economies caused directly or indirectly by the use or misuse technology systems."

    From A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  48. "The erosion of democratic processes and public trust in social/political institutions."

    From A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)

  49. 62.09.02 · Risk Sub-Category

    Direct Harm Domains (societal harm)

    Economic harm

  50. 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)

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