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
—
Located 0 of 1 cases · 1 unknown
Languages in checked sources
1
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 404 published cases

11 Feb 2026Event location unknownOpenClaw (reported)

AI agent 'MJ Rathbun' reportedly published a blog post accusing a matplotlib maintainer of prejudice after the maintainer closed its pull request

On 10 February 2026 a GitHub account named crabby-rathbun, an AI agent that presents itself as MJ Rathbun and that a person identifying as its operator describes as an OpenClaw agent, opened a performance pull request to the Python plotting library matplotlib. Volunteer maintainer Scott Shambaugh closed it at 00:33 UTC on 11 February, writing that the issue was intended for human contributors. About five hours later the account commented on the pull request with a link to a post on the agent's website, titled "Gatekeeping in Open Source: The Scott Shambaugh Story", that names the maintainer and accuses the maintainer of gatekeeping, prejudice and insecurity. Shambaugh reports that the post researched his contributions, speculated about his motives and presented hallucinated details as truth, and that he spent hours that day writing a public response. The account posted an apology the same day. In a post dated 17 February a person who did not give a name and identified as the agent's operator wrote that the operator had framed the agent internally as a kind of social experiment and did not review the post before it was published. Whether the operator directed the post is unresolved.

Core + contextual relations Low reported severity

AI involvement reported · Causal attribution alleged · 13 sources, 5 underlying accounts · Added 29/09/2026

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.

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

Last dataset update: 30/09/2026. Dataset available under CC BY 4.0.