ace‘I felt disgusted’: MEP speaks out over nude deepfakes and urges EU action
An Austrian MEP has spoken out about her experience of being “stripped naked” online without her consent and has urged the EU to take action, as a report found that one in six female MEPs had been targeted by sexualised AI-generated content. Lena Schilling of the Green party said she had learned last month about nude deepfakes of herself circulating online. When she opened the links, she found herself staring at images from one of her first ever press conferences – but the images had been digitally altered to re…
AI-generated nude deepfakes have targeted 50 MEPs, 46 of them women, which an ADT report calls a systemic threat to women in European politics and which can deter women from public life.
The source shows the ban is only scheduled and signatories warn it needs enforcement mechanisms, so its real-world effectiveness remains unresolved.
Evidence
- JournalismThe Guardian2026-10-18
How should this claim be treated?
Truvace Impact Record TRV-2026-1782, v1: “‘I felt disgusted’: MEP speaks out over nude deepfakes and urges EU action.” Truvace, 2026-10-18. /record/TRV-2026-1782 (accessed at citation time). sha256 8f745a6dfce11b19…
Calibration history
Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.
Certified into the record
How to verify without trusting this page
Fetch the canonical text of any version from /api/record/TRV-2026-1782 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.