Skip to main content

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 is wider: it also records consequential decisions and claims about people. Each account is reviewed for publication; claims may remain uncorroborated or disputed. How we review and count cases

In this selection

Published cases
1
Countries with reported events
1
Located 1 of 1 cases · 0 unknown
Languages in checked sources
2
Recorded for 1 of 1 cases

1 case has no reviewed AI-to-person relation yet: 0 not yet reviewed and 1 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.

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

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.

Reported severity Low
More filters: AI relation, use, setting, sources and responses
Clear filters

1 of 452 published cases

15 Sept 2026IndiaUnidentified traffic-violation detection camera

Bengaluru: an AI traffic camera on the Outer Ring Road reportedly classified a guitar bag on a lone scooter rider's back as a helmetless pillion passenger and generated a ₹500 e-challan; a senior traffic officer said the system appears to have made the classification, and police offered rectification

On 15 September 2026 a man was riding his wife's electric scooter alone in Bengaluru, from Hebbal towards Tin Factory, wearing a helmet and carrying a guitar on his back. An AI-enabled Bengaluru Traffic Police camera on the Outer Ring Road photographed him, and the next day an e-challan of ₹500 was generated for a pillion rider not wearing protective headgear; the photograph attached to it showed no passenger, only the guitar bag. The rider posted the challan on X and asked the traffic police to revoke it. A senior traffic police officer told Deccan Herald that the bag's position apparently led the AI-based system to classify it as a person sitting behind the rider, after which the system appears to have detected a helmet violation and generated the challan. Bengaluru Traffic Police replied that the violation could be rectified and gave an email address and phone numbers, and the joint commissioner of police (traffic) told the Times of India that the violation would be revoked if the complaint was found true. Whether it was revoked is not reported.

Contextual tracker case Low reported severity Media Coverage

AI involvement supported · Causal attribution supported · 4 sources, 3 underlying accounts · Added 02/10/2026

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.

Methodology and corrections · Subscribe via RSS · Suggest a case or correction · Find support

Last dataset update: 02/10/2026. Dataset available under CC BY 4.0.