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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 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

Explore incidents Our scope and evidence

In this selection

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

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.

0cases with a recorded lawsuit outcome 0cases with a recorded regulatory response 2cases 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.

2 2026
Reported severity Low
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2 of 174 published cases

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2 Sept 2026United StatesMeta AI (suggested-question prompts under Instagram and Facebook posts, drawing on the user's and related accounts' content)

Utah: Meta AI's suggested prompts under a mother's Instagram video compiled her young daughters' names, birth details and old photos and her likely home location; Meta said the prompts 'missed the mark' and changed the feature

On 1 September 2026 Kalie Robins, a Utah travel creator, posted a short Instagram video of herself singing in the car with one of her daughters; it was also shown on Facebook. The next day she noticed Meta AI had placed suggested questions under the post, starting with 'Who's the child passenger?'. Clicking the prompts, she said, produced her two daughters' names, birth information, photos and videos drawn from her own and relatives' past posts, including a newborn photo from her mother's account and a picture she believed she had deleted years earlier, and a further prompt, 'Where does Kalie Robins live?', assembled older and newer posts into her likely location. Her 2 September reaction video drew more than 310,000 likes. Meta told reporters the prompts 'missed the mark', 'should never have been generated' and had been fixed, while saying the feature only surfaces information the user can already access; it disputed that a long-deleted photo was used, saying the photo had been deleted shortly before the video and remained briefly visible through a bug. Robins said Meta never contacted her and that the episode left her feeling she had 'failed' her children.

Contextual tracker case News report AI involvement: supported Causal attribution: supported Low reported severity Internal Action Involving minors

Added 18/09/2026

16 May 2026United StatesAI image generation (a Google Gemini-watermarked image used by a Lyft driver to fabricate a damage-claim photo)

Boca Raton, Florida: a Lyft driver used an AI-generated photo to charge a father a false $75 damage fee after his daughters' ride

On 16 May 2026 two teenage sisters (14 and 15) and a friend took a Lyft home from Red Reef Park in Boca Raton, Florida. Their father, Bert Gor, was then charged a $75 damage fee after the driver told Lyft's customer service the girls had left a mess. When Gor asked for proof, the photo he was sent carried a Google Gemini watermark that one daughter recognised, showing the image had been AI-generated. Lyft agreed the image was fake, reimbursed the charge and permanently removed the driver from its platform.

AI relation unknown News report AI involvement: supported Causal attribution: supported Low reported severity Internal Action Involving minors

Added 17/09/2026

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: 22/09/2026. Dataset available under CC BY 4.0.