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NOPE · AI and people

AI incidents

Reports of AI-related harm and adverse experiences affecting people’s safety, wellbeing, rights and livelihoods. Explore what happened and the evidence available.

NOPE’s core concern is when AI communicates with a person, acts on their behalf, or depicts or impersonates them. The tracker also records consequential decisions, claims and privacy harms involving AI. Each case needs a described connection between AI use and the harm, including private information recorded into or disclosed to an AI service. Each account is reviewed for publication; claims may remain uncorroborated or disputed. How we review and count cases

Explore incidents Our scope and evidence

In this selection

Published cases
2
Countries with reported events
2
Located 2 of 2 cases · 0 unknown
Languages in checked sources
1
Recorded for 2 of 2 cases
2Core concern
AI communicated, acted for, depicted or impersonated 2Contextual cases
AI made a decision or claim about someone

1 case has no reviewed AI-to-person relation yet: 1 not yet reviewed and 0 reviewed as unknown. Show these cases

These figures describe the cases collected by NOPE. Coverage varies with discovery, reporting and available evidence. They do not estimate how often AI-related harm occurs.

2cases with a recorded lawsuit outcome 2cases with a recorded regulatory response 0cases involving minors

Response counts currently use each case’s principal recorded outcome. Further proceedings may be described in its account.

When events happened

0 cases without a known event year

Cases in this selection, counted once in their first known event year. A series may continue beyond that year. Reporting and collection dates are excluded. NOPE has searched recent events more thoroughly than earlier years, so bar heights also reflect collection effort.

1 20241 2026
Reported severity Medium
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2 of 868 published cases

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Dec 2024 to Sept 2026AustraliaUnidentified AI writing tool

Tasmania parole media ban quashed after state conceded reliance on likely AI-hallucinated case law

In December 2024 the Parole Board of Tasmania added a condition to the parole of Susan Neill-Fraser, released in 2022 after serving 13 years for murder and who maintains her innocence, barring her from communicating with media to claim innocence or wrongful conviction; a broader condition replaced it in May 2025. On 15 September 2026 the Supreme Court of Tasmania declared the conditions invalid. Her counsel told the court that the board's secretary had used artificial intelligence to prepare a rationale document justifying the condition and that it cited case law that did not exist. The Human Rights Law Centre, which represented her, says the State conceded that the board's decision-making was affected by a document containing legal authorities that were likely AI-generated hallucinations, and the ABC reports the court found the board relied on that document. The board had withdrawn the condition in August 2026. Tasmania's Attorney-General announced an independent investigation of the board's professional standards over its use of unverified AI, and the Justice Department announced a review of AI use in past parole decisions.

Contextual tracker case Medium reported severity Investigation Opened

AI involvement supported · Causal attribution supported · 6 sources, 4 underlying accounts · Added 06/10/2026

24 Jul 2026 to 26 Jul 2026IndiaUnidentified facial recognition system

Delhi: the police facial-recognition system logged at least 25 people who were in Tihar, Mandoli or Rohini jails as present at the Jantar Mantar student protests (20 to 26 July 2026), with timestamps on 24 to 26 July, on a sworn list of 2,873 persons with 'criminal antecedents' that the Supreme Court allowed police to register a fresh FIR against (Indian Express investigation, 4 September 2026)

In an affidavit of 17 August 2026 before the Supreme Court of India, Delhi Police said its Facial Recognition System (FRS) had identified 2,873 people with criminal antecedents at the Jantar Mantar protests of 20 to 26 July 2026 (2,402 through its 'Crime Kundli' biometric database and 471 through other criminal records). On 1 September the Court quashed the FIRs against the student protesters but let the police proceed against the 2,873; the police say any action will follow field verification. The Indian Express checked the 205 listed people facing murder, attempted-murder, rape or child-sexual-offence charges against police, prison and court records and found that at least 25 of them (17 accused of murder, four of rape (two or three under POCSO; the Express's narrative and its list differ), four of attempted murder) were lodged in Delhi's Tihar, Mandoli or Rohini prisons when the system logged them at the protest site with timestamps on 24, 25 and 26 July; some had been in custody for years. Delhi Police told the newspaper that further verification of the 2,873 was pending and, in its affidavit, that no action is taken solely on a facial-recognition result and that field verification follows each match. The police disclosed in 2022, in reply to a Right to Information request, that it treats a match with an 80 per cent similarity score as positive. Whether any of the 25 has since been named in the fresh FIR or visited for verification is not reported.

Contextual tracker case Medium reported severity Investigation Opened

AI involvement reported · Causal attribution supported · 4 sources, 2 underlying accounts · Added 24/09/2026

Cases may have several effects and sources. Mixed accounts qualify when they include a reported harm or adverse experience. People are counted within individual cases where sources support a number; we do not publish a collection-wide total of distinct people.

A source’s existence, the experience it reports and AI’s causal role are separate questions. A lawsuit records allegations unless a subsequent finding establishes them.

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Last dataset update: 23/10/2026. Dataset available under CC BY 4.0.