Cases › produced harmful content › LR-2026-0210
Nude deepfakes of Austrian MEP Lena Schilling and 49 other MEPs circulated online
Severity major: Many third parties were affected: 50 MEPs, 46 of them women, were targeted by sexualised deepfakes.
Earliest source we hold 2026-10-18
An Austrian MEP, Lena Schilling, learned last month that nude deepfakes made from an altered press-conference photo of her were circulating online; the Berlin thinktank Agora Digitale Transformation alerted her to the images.
Risk grouping: AI used to exploit
| Who caused it | A person or organisation “Schilling is one of 50 MEPs – 46 of them women – who have been targeted by sexualised deepfakes, according to a report by Agora Digitale Transformation (ADT).” source |
|---|---|
| Intended or not | Intended “pointing to the widespread use of “nudifier” apps in which photos of women can be undressed with just one click.” source |
| Before or after release | After release “Lena Schilling of the Green party said she had learned last month about nude deepfakes of herself circulating online.” source |
| The AI's part | Used as a tool “pointing to the widespread use of “nudifier” apps in which photos of women can be undressed with just one click.” source |
The story
1 · What it was doingAI 'nudifier' apps and websites were used to digitally remove clothing from photos of women, including MEP Lena Schilling, producing sexualised deepfakes that circulated online. The operators of the tools are not identified.
2 · What went wrongImages of Schilling from one of her first press conferences were digitally altered to remove her clothing and circulated online without her consent, breaching her right not to be depicted naked against her will.
3 · What it reached or didThe altered images circulated online and were seen by Schilling herself; an ADT report found 50 MEPs, 46 of them women, had been targeted, and an earlier report found 138 female parliamentarians from 22 EU countries affected.
4 · How it was caughtThe Berlin-based thinktank Agora Digitale Transformation alerted Schilling to the presence of the images online.
5 · What was doneSchilling spoke publicly and, with MEP Terry Reintke, initiated a letter signed by 119 MEPs urging the EU to pair a forthcoming ban on AI undress apps with enforcement mechanisms and to close loopholes.
What the sources state
- Other parties affected 50
Show every field, with its source and grade
The AI system
Software around the model
nudifier apps and websites
C one secondary source states it
How it was connected
embedded
D inferred by us from the described behaviour, reason shown
What it was for
to undress women in photos, generating sexualised deepfakes
C one secondary source states it
What happened
Earliest source we hold
2026-10-18
A the date the source itself carries
Who caught it
an outside party
C one secondary source states it
Themes
deepfake, non-consensual intimate imagery, politicians, gender based violence
C one secondary source states it
What went wrong
produced harmful content
D inferred by us from the described behaviour, reason shown
AI agent
no AI agent acted
D inferred by us from the described behaviour, reason shown
Impact
Other parties affected
50
C one secondary source states it
Severity
major
D inferred by us from the described behaviour, reason shown
Kind of harm
privacy, discrimination, reputation
D inferred by us from the described behaviour, reason shown
Who was affected
50 MEPs, 46 of them women, targeted by sexualised deepfakes; 138 female parliamentarians from 22 EU countries in an earlier report
C one secondary source states it
Protected groups
a protected group was affected
D inferred by us from the described behaviour, reason shown
Why this severity
Many third parties were affected: 50 MEPs, 46 of them women, were targeted by sexualised deepfakes.
D inferred by us from the described behaviour, reason shown
Context
Industry
Public administration and government
D inferred by us from the described behaviour, reason shown
Country
Austria
C one secondary source states it
LR-2026-0210 · version 4 · published 2026-10-25 after automatic checks; not yet checked field by field by a person · changes to this case · JSON