MIT AI Risk Repository · domain 5: Human-Computer Interaction

5.1 Overreliance and unsafe use

Users anthropomorphizing, trusting, or relying on AI systems, leading to emotional or material dependence and inappropriate relationships with or expectations of AI systems. Trust can be exploited by malicious actors (e.g., to harvest personal information or enable manipulation), or result in harm from inappropriate use of AI in critical situations (e.g., medical emergency). Overreliance on AI systems can compromise autonomy and weaken social ties.

Risk entries
60
Frameworks citing it
12
Recorded incidents
38
Incidents since 2020
35
Causal entity (risk entries)
Causal entity (risk entries) 27 0 Human: 27 Human 27 Other: 19 Other 19 AI: 14 AI 14
Causal entity (risk entries)
LabelValue
Human27
Other19
AI14
Intent (risk entries)
Intent (risk entries) 35 0 Unintentional: 35 Unintentional 35 Other: 18 Other 18 Intentional: 7 Intentional 7
Intent (risk entries)
LabelValue
Unintentional35
Other18
Intentional7
Timing (risk entries)
Timing (risk entries) 53 0 Post-deployment: 53 Post-deployment 53 Other: 7 Other 7
Timing (risk entries)
LabelValue
Post-deployment53
Other7
Recorded incidents per yearIncident date; current year partial
Recorded incidents per year 18 0 2015: 1 2015 1 2018: 1 2018 1 2019: 1 2019 1 2021: 4 2021 4 2022: 5 2022 5 2023: 5 2023 5 2024: 3 2024 3 2025: 18 2025 18
Recorded incidents per year
LabelValue
20151
20181
20191
20214
20225
20235
20243
202518
Entries by levelRisk categories, subcategories and additional evidence coded to this subdomain
Entries by level 49 0 Risk Category: 11 Risk Category 11 Risk Sub-Category: 49 Risk Sub-Category 49
Entries by level
LabelValue
Risk Category11
Risk Sub-Category49
  • Human-AI interaction

    "ethical concerns associated with the interaction between humans and AI"

    What Ethics Can Say on Artificial Intelligence: Insights from a Systematic Literature Review (Giarmoleo2024) · Other · Other · Other

  • AI-generated advice influencing user moral judgment

    "AIs can easily give moral advice even when not having a coherent, contradictions- free moral stance. This could lead to the users’ moral judgments being nega- tively influenced by random or arbitrary...

    Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024) · AI · Other · Post-deployment

  • Deployment of GPAI agents in finance

    "The deployment of GPAI based agents in the financial sector can negatively impact market stability due to correlated autonomous actions, high intercon- nectedness, or incentive misalignment [4]. Furt...

    Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024) · Human · Unintentional · Post-deployment

  • Use of alternative financial data via AI

    "Alternative financial data of a company is any data about the company not pro- duced by that company. Examples of such data that can benefit from improved collection and aggregation using AI models i...

    Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024) · Human · Unintentional · Post-deployment

  • Overreliance on AI systems, which cannot be subsequently unpicked

    Future Risks of Frontier AI (GOS2023) · Human · Unintentional · Other

  • Influence, overreliance and dependence (influence and manipulation)

    "Despite the widely recognized potential of generative AI tools to “hallucinate” or produce harmful content, such tools can exert a noteworthy influence on the humans who engage with them. When integr...

    Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024) · AI · Unintentional · Post-deployment

  • Influence, overreliance and dependence (overreliance)

    "Beyond being simply influenced, humans may become overreliant on generative AI. Researchers with Microsoft’s AETHER (AI Ethics and Effects in Engineering and Research) define overreliance as users “a...

    Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024) · Human · Unintentional · Post-deployment

  • Influence, overreliance and dependence (emotional dependence)

    "Humans might become dependent on generative AI tools in ways similar to their emotional dependence on other technologies, such as smartphones or social networks."

    Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024) · Human · Unintentional · Post-deployment

  • Interaction risks

    Many novel risks posed by generative AI stem from the ways in which humans interact with these systems. For instance, sources discuss epistemic challenges in distinguishing AI-generated from human con...

    Mapping the Ethics of Generative AI: A Comprehensive Scoping Review (Hagendorff2024) · Other · Other · Post-deployment

  • Improper usage

    "Improper usage occurs when a model is used for a purpose that it was not originally designed for."

    AI Risk Atlas (IBM2025) · Human · Unintentional · Post-deployment

  • Over- or under-reliance

    "In AI-assisted decision-making tasks, reliance measures how much a person trusts (and potentially acts on) a model’s output. Over-reliance occurs when a person puts too much trust in a model, accepti...

    AI Risk Atlas (IBM2025) · Human · Unintentional · Post-deployment

  • 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"

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

  • Self-harm

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

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

  • Human-AI Configuration

    "Arrangement s of or interactions between a human and an AI system which can result in the human inappropriately anthropomorphizing GAI systems or experiencing algorithmic aversion, automation bias,...

    Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile (NIST2024) · Other · Unintentional · Post-deployment

  • Unhealthy or dangerous human-EAI relationships

    "Constant access to and interaction with EAI systems could foster dangerous human dependence or romantic attachment [115]. People may depend on EAI systems for physical pleasure [116]. The physical pr...

    Embodied AI: Emerging Risks and Opportunities for Policy Action (Perlo2025) · Other · Unintentional · Post-deployment

  • Diminished health & well-being

    algorithmic behavioral exploitation [18, 209], emotional manipulation [202] whereby algorithmic designs exploit user behavior, safety failures involving algorithms (e.g., collisions) [67], and when sy...

    Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction (Shelby2023) · AI · Other · Post-deployment

  • Attempts to fulfill inappropriate role

    "The chatbot poses as a human or attempts to fill a role in a way that fails to match human expectations."

    Emerging Risks and Mitigations for Public Chatbots: LILAC v1 (Stanley2024) · AI · Unintentional · Other

  • Forms emotional bonds

    "The chatbot elicits emotional or social dependence."

    Emerging Risks and Mitigations for Public Chatbots: LILAC v1 (Stanley2024) · AI · Other · Other

  • Then violates those bonds

    Emerging Risks and Mitigations for Public Chatbots: LILAC v1 (Stanley2024) · AI · Other · Other

  • Over-reliance/addiction

    Emerging Risks and Mitigations for Public Chatbots: LILAC v1 (Stanley2024) · Other · Other · Other

  • Automation bias

    "The tendency for humans to over-rely on AI models and systems, trusting their outputs without sufficient critical evaluation, which can lead to poor decision-making."

    A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025) · Human · Unintentional · Post-deployment

  • Human choice of overreliance in critical sectors

    "Heavy reliance on AI in critical sectors like finance or healthcare can exacerbate issues related to size, speed, interconnectivity, and complexity of the system."

    A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025) · Human · Unintentional · Post-deployment

  • Leading users to perform unethical or illegal actions

    "Where a LM prediction endorses unethical or harmful views or behaviours, it may motivate the user to perform harmful actions that they may otherwise not have performed. In particular, this problem ma...

    Ethical and social risks of harm from language models (Weidinger2021) · AI · Other · Post-deployment

  • Human-Computer Interaction Harms

    "Harms that arise from users overly trusting the language model, or treating it as human-like"

    Ethical and social risks of harm from language models (Weidinger2021) · Other · Unintentional · Post-deployment

  • Anthropomorphising systems can lead to overreliance or unsafe use

    "...humans interacting with conversational agents may come to think of these agents as human-like. Anthropomorphising LMs may inflate users’ estimates of the conversational agent’s competencies...As a...

    Ethical and social risks of harm from language models (Weidinger2021) · Human · Unintentional · Post-deployment