Artificial Intelligence Policy Tracker

AI incident ·

Student Reportedly Files Complaint Over Professor's Undisclosed Use of Generative AI at Northeastern University

1 news report Snapshot 7 Sep 2026
On this page 8 sections

In brief

An AI system built by Perplexity, Openai and 1 other and deployed by Rick Arrowood allegedly harmed Rick Arrowood, Northeastern University Students and 4 others.

Risk domain
Human-Computer Interaction Overreliance and unsafe use
Occurred
Coverage
1 reportMay 2025

What happened

A student at Northeastern University reportedly filed a complaint after discovering that a professor had used generative AI tools, including ChatGPT, to produce course materials despite university policies discouraging undisclosed AI use. The student alleged hypocrisy, citing a syllabus that barred unauthorized AI use by students. The professor acknowledged having used AI-generated materials and expressed regret over not reviewing them more carefully. No tuition refund was reportedly granted.

Laws on record for this risk area

Policy angle: Classified under Human-Computer Interaction (Overreliance and unsafe use) in the MIT AI Risk Repository taxonomy; 5 instruments on record cover this risk area.

Matched from the record's risk category and country to the instruments in effect recorded here: a law listed covers the area, which is not a finding that it applies to this incident. A reviewer can correct the match in the repository (data/external/incident_overrides.yaml).

News reports (1)

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

Who was involved

Alleged deployer
Rick Arrowood
Alleged harmed party
Rick Arrowood, Northeastern University Students, Northeastern University, Ella Stapleton, University Students, Educational Communities

Classification (MIT AI Risk Repository taxonomy)

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

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

  • 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)

  • 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)

  • 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)

  • Alteration of social relationships may induce psychological distress

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

  • 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)

  • 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 #1071 on the AI Incident Database · all 1 report