AIPolicyTracker

AI incident ·

Vanderbilt Peabody Office's Purportedly ChatGPT-Drafted Message About Michigan State Shooting Reportedly Drew Student Backlash

20 news reports Snapshot 7 Sep 2026

In brief

An AI system built by Openai and deployed by Vanderbilt University and Vanderbilt University Peabody College Office Of Equity Diversity And Inclusion allegedly harmed Vanderbilt University Students, Vanderbilt University and 6 others.

Risk domain
Human-Computer Interaction Overreliance and unsafe use
Occurred
Coverage
20 reportsFeb 2023

What happened

On February 16, 2023, Vanderbilt University's Peabody College Office of Equity, Diversity and Inclusion reportedly sent students a message about the Michigan State University shooting that disclosed it had been drafted or paraphrased using ChatGPT. Students reportedly criticized the message as impersonal and disrespectful in a moment of grief. Peabody later apologized for "poor judgment," and two EDI deans temporarily stepped back during a review.

Laws that address this harm

Policy angle: Classified under Human-Computer Interaction (Overreliance and unsafe use) in the MIT AI Risk Repository taxonomy; 5 recorded instruments address this use case.

Matched from the record's risk domain and country to the instruments recorded here. A reviewer can correct the match in the repository (data/external/incident_overrides.yaml).

News reports (20)

Titles link to the original publisher; report text is not reproduced here.

Who was involved

Alleged developer
Openai
Alleged harmed party
Vanderbilt University Students, Vanderbilt University, Students, Universities, University Students, Educators, Professors, Educational Communities

Classification (MIT AI Risk Repository taxonomy)

Causal entity
Human
Intent
Intentional
Timing
Post-deployment
Harm level
—
Sectors
—
Countries
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Risk entries describing this failure mode

Entries from the MIT AI Risk Repository coded to subdomain 5.1.

  • Addiction

    "Addiction - Emotional or material dependence on technology or a technology system."

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

  • Alienation/isolation

    "Alienation/isolation - An individual’s or group’s feeling of lack of connection with those around as a result of technology use or misuse."

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

  • Overreliance

    "Over-reliance - Unfettered and/or obsessive belief in the accuracy or other quality of a technology system, resulting in addiction, anxiety, introversion, sentience, complacency, lack of critical thinking and other actu...

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

  • Economic instability

    "Economic instability - Uncontrolled fluctuations impacting the financial system, or parts thereof, due to the use or misuse of a technology system, or set of systems."

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

  • Social manipulation in elderly- and child-care

    " the use of advanced AI for elderly- and child-care are subject to risk of psychological manipulation and misjudgment "

    The Rise of Artificial Intelligence - Future Outlooks and Emerging Risks (Allianz2018)

  • Healthcare

    "the use of advanced AI for elderly- and child-care are subject to risk of psychological manipulation and misjudgment (see page 17). In addition, concerns about patients’ privacy when AI uses medical records to research...

    The Rise of Artificial Intelligence - Future Outlooks and Emerging Risks (Allianz2018)

  • Alteration of social relationships may induce psychological distress

    The Rise of Artificial Intelligence - Future Outlooks and Emerging Risks (Allianz2018)

  • Inconsistent Performance across and within Domains

    "Estimating true capabilities of an LLM is a difficult task (c.f. Section 3.3), especially for naive users unfamiliar with the brittle nature of machine learning technologies. Exaggeration of model capabilities by the de...

    Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024)

Incidents in the same risk subdomain

All incidents in this subdomain

Source record: incident #482 on the AI Incident Database · all 20 reports