MEP Speaks Out After Nude Deepfakes Target Female Lawmakers

According to The Guardian, Lena Schilling, a member of the Austrian Greens in the European Parliament, has spoken publicly about discovering nude deepfakes of herself circulating online. She said she learned last month that the images existed and that, when she opened the links, she found pictures taken from one of her early press conferences. In those images, her clothing had been digitally removed without her consent.

The Guardian reports that Schilling described the experience as being "stripped naked" online and said she felt disgusted. She called the images digital violence against women and argued that such content poses a threat to democracy, not only to the individuals depicted. She has urged the European Union to act.

The same report, as summarized by The Guardian, cites a finding that one in six female members of the European Parliament had been targeted by sexualized AI-generated content. The outlet's summary does not detail the methodology behind that figure, the organization that compiled it, or the specific steps lawmakers have taken in response.

The account centers on Schilling's personal experience and her call for EU-level action. The material available does not say which platforms hosted the images, whether any individuals have been identified or charged, or what concrete measures the European Commission or Parliament are currently considering.

Background

Synthetic intimate imagery, often called deepfake pornography, uses machine learning models to generate or alter pictures so that real people appear nude or in sexual situations. The technology has become far easier to use over the past few years. Tools that once required technical skill can now be accessed through consumer apps and websites, and a single publicly available photo can be enough to produce a convincing fake. Women and girls have been the overwhelming majority of targets in documented cases, and the harm is serious even when the images are known to be false. Victims often report anxiety, reputational damage, withdrawal from public life, and difficulty getting content removed once it spreads across sites and private messaging groups.

Legal responses have been uneven. Some jurisdictions have added specific offenses for sharing nonconsensual intimate images, including synthetic ones, while others rely on older harassment, defamation or privacy laws that may not fit neatly. The European Union has been building a broader framework for digital services and artificial intelligence, which includes transparency obligations for AI-generated content and duties for large online platforms to address illegal material. How these rules apply to sexualized deepfakes in practice depends on national implementation, enforcement capacity and how courts interpret existing definitions.

Public figures face a particular mix of exposure and pressure. Politicians, journalists and other visible women tend to have large archives of publicly available photos, which can make them easier to target. Their experiences can also shape policy debate, since their cases draw attention that private victims often do not receive. Whether such attention leads to durable protections, rather than short bursts of outrage, is an open question that depends on follow-through from lawmakers, regulators and platforms.

Why it matters

The story sits at the intersection of two concerns that have grown together: the ease of generating realistic fake imagery and the use of that imagery to intimidate people. When the targets are elected representatives, the harm extends beyond one person's dignity. If women in public office face sexualized attacks as a routine cost of their work, some may choose not to run, speak out, or stay in their roles. That affects who participates in democratic debate and whose voices are heard.

The reported figure, that one in six female MEPs had been targeted, is significant if it holds up, because it suggests the problem is systematic rather than isolated. It also highlights a gap between the speed at which these tools spread and the speed at which legal and technical responses arrive. Criminal law can punish distribution after the fact, but it rarely removes an image from every corner of the internet. Platform policies, detection tools and takedown processes matter just as much.

For the broader technology sector, the case is a reminder that generative tools carry foreseeable misuse. Developers, hosting services and distribution channels all face questions about safeguards, reporting systems and responsiveness. For readers, the story is a reminder that the most damaging deepfakes are often not the sophisticated ones but the quick, cheap ones made from ordinary photos.

What to watch

Watch whether EU institutions respond to Schilling's call with concrete proposals, and whether any such proposals address both creation and distribution of nonconsensual synthetic imagery. Look for clarity on the survey or report behind the one-in-six figure, including who conducted it and how targets were identified. Follow whether platforms that host such content publish clearer timelines for removal and whether national governments move to close gaps in their own laws. Finally, watch whether other lawmakers, journalists and public figures speak about their own experiences, which could indicate how widespread the problem is and how much pressure policymakers face.