Federal Prosecutors Test the TAKE IT DOWN Act in a Texas Deepfake Pornography Case
What happened
Among the first prosecutions announced under the TAKE IT DOWN Act, federal prosecutors in Texas charged Arturo Hernandez with publishing approximately 113 albums of AI-generated nonconsensual pornographic imagery. The Justice Department alleged that Hernandez used AI tools to transform non-explicit source photographs of real women into sexualized depictions, then published the results online. Around 50 identifiable women were depicted, including people with no public profile and recent high school graduates.
The DOJ's allegations describe conduct that would have been technically difficult at any meaningful scale just a few years ago. Image-to-image generation tools now make it possible to work through dozens of source photographs quickly, producing explicit material from images that were never intended to be sexual. The 113-album count in the charging documents suggests something closer to a sustained production operation than a one-time misuse of a tool.
The TAKE IT DOWN Act, signed into law in 2025, created federal criminal liability specifically for publishing nonconsensual intimate imagery, including AI-generated depictions. The Hernandez prosecution was among the first cases brought under the statute, meaning it will help define how the law is applied, what evidence prosecutors rely on, and which elements of the offense are hardest to prove. First prosecutions under new statutes rarely proceed quietly, and this one arrives with a combination of factors, including the involvement of non-public figures and recent graduates, that made it a prominent early test.
The technology at the center of the case requires no special skill or unusual access. Consumer-grade image generation software can perform exactly this kind of transformation, and the barrier to distributing the results is no higher than uploading to any hosting platform. What changed with the TAKE IT DOWN Act is not capability but legal exposure: the statute assigned criminal consequences to conduct that had no clear federal prohibition before it passed.
The gap the case reveals sits between distribution and accountability. Under current conditions, a person can generate and publish this kind of material at scale without leaving a verified trace of where the source images came from, which tools were used, or when the transformation happened. A provable record of what a system did, and to whom, would give investigators and courts something to work with beyond the published output itself. Without it, prosecution depends on reconstructing a process after the fact, from evidence the defendant controlled.
Reported impact
- Affected parties
- Not publicly disclosed
- Harm type
- Not publicly disclosed
- Scale
- Not publicly disclosed
- Financial impact
- Not publicly disclosed
- Regulatory action
- Not publicly disclosed
Classification
Relevant governance controls
Governance control mapping is not available for this record.
- No controls mapped
Not publicly disclosed
Control mapping is analytical. It does not state that any control would have prevented the incident.
Sources and evidence
This record was researched and written by the Index. The event is also catalogued in the following database, which is listed for cross-reference.