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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

In this selection

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

Reported severity Low
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1 of 174 published cases

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 People are counted within individual cases where sources support a number; we do not publish a collection-wide total of distinct people.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.