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Incident 1511: Grok Reportedly Generated Images After X Users Asked It to Unredact Epstein-File Photos of Children and Women

Description: Bellingcat reported that, after the U.S. Department of Justice released the Epstein files, X users asked Grok to "unblur" or identify redacted children and women in sensitive photos. In 31 requests reviewed from January 30 to February 5, 2026, Grok allegedly generated images in 27 cases, despite some responses noting privacy protections. Later requests are reported to have appeared blocked after Bellingcat contacted X.
Editor Notes: Timeline notes: This incident ID uses 01/30/2026 as its date because Bellingcat reviewed X user requests to Grok from 01/30/2026 to 02/05/2026. Bellingcat published its report on 02/10/2026. The incident ID was created on 06/04/2026.

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Alleged: xAI , Large language model developers , Image generator technology developers and Chatbot developers developed an AI system deployed by xAI , X (Twitter) users , X (Twitter) and Grok users, which harmed Women , Privacy , People depicted in redacted images , Minors , Epstein abuse survivors and Abuse survivors.
Alleged implicated AI systems: X (Twitter) platform , Social media platforms , Image generation technology , Grok image generation , Grok image editing , Grok and Chatbots

Incident Stats

Incident ID
1511
Report Count
1
Incident Date
2026-01-30
Editors
Daniel Atherton

Incident Reports

Reports Timeline

Incident OccurrenceEpstein Files: X Users Are Asking Grok to 'Unblur' Photos of Children
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Epstein Files: X Users Are Asking Grok to 'Unblur' Photos of Children

Epstein Files: X Users Are Asking Grok to 'Unblur' Photos of Children

bellingcat.com

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Epstein Files: X Users Are Asking Grok to 'Unblur' Photos of Children
bellingcat.com · 2026

In the days after the US Department of Justice (DOJ) published 3.5 million pages of documents related to the late sex offender Jeffrey Epstein, multiple users on X have asked Grok to "unblur" or remove the black boxes covering the faces of …

Variants

A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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