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A Channel 4 News investigation revealed that nearly 4,000 celebrities, including 255 British figures, have been targeted by non-consensual deepfake pornography created using AI. The investigation found that five major deepfake websites received 100 million views in three months. Victims described the experience as a violation and degrading, highlighting the widespread misuse of AI tools to generate non-consensual explicit content.
A Channel 4 News investigation alleges that nearly 4,000 celebrities globally, including 255 British figures, were victims of deepfake pornography. Faces were superimposed onto explicit content using AI, with the top deepfake sites garnering 100 million views in three months, according to their findings.
Domain classification, causal taxonomy, severity scores, and national security assessments were LLM-classified and may contain errors.
Using AI systems to gain a personal advantage over others such as through cheating, fraud, scams, blackmail or targeted manipulation of beliefs or behavior. Examples include AI-facilitated plagiarism for research or education, impersonating a trusted or fake individual for illegitimate financial benefit, or creating humiliating or sexual imagery.
Also classified as
The deepfake pornographic videos were hosted on public websites, receiving over 100 million views and exposing the public to toxic, non-consensual explicit content.
The incident involves the creation of humiliating and sexual synthetic imagery targeting specific individuals without their consent for harassment and degradation.
Human
Due to a decision or action made by humans
Intentional
Due to an expected outcome from pursuing a goal
Post-deployment
Occurring after the AI model has been trained and deployed
The harm is caused by human users intentionally using deployed AI deepfake generation tools to create and share non-consensual explicit imagery.
Added categories peak at 3: Substantial (Psychological Harm, Inferred)
An investigation revealed widespread misuse of AI tools to generate non-consensual deepfake pornography targeting nearly 4,000 public figures globally. While representing a severe violation of personal privacy and showcasing advanced synthetic media capabilities, the incident does not directly threaten core national security functions, critical infrastructure, or state sovereignty.
The AI systems are described as deepfake generation apps used by humans to perform the specific, well-defined function of superimposing faces onto pornographic material based on direct inputs.
Risk Level 3. Limited Risk: The report describes AI-generated content such as deepfakes, which pose a moderate risk and require specific transparency obligations under the Act.
The primary function of the AI systems involved is to generate deepfake videos and images by superimposing faces onto explicit content.
The report provides clear, detailed statistics from a Channel 4 investigation regarding the scale of deepfake pornography, specific numbers of victims, and direct quotes from affected individuals, allowing for highly confident classifications.
None
Technology
AI Face Superimposition Tech
AI tools allow easy superimposition of faces onto adult content.
Widespread App Availability
Deepfake creation apps remain widely available on various app stores.
Rapid Technical Proliferation
Exponential growth in deepfake uploads makes detection challenging.
Data Inputs
Unrestricted Image Harvesting
Public photos of celebrities and individuals are harvested without consent.
Lack of Input Verification
AI models do not verify if consent was given for the input images used.
Human Factors
Malicious Intent of Creators
Individuals create and share non-consensual porn to degrade victims.
High Consumer Demand
Deepfake websites received over 100 million views in three months.
Process and Methods
Reactive Removal Processes
Platforms rely on victims requesting content removal rather than preventing it.
Search Engine Indexing
Search engines index and display deepfake sites in search results.
Inadequate Ad Screening
Social platforms allowed ads promoting deepfake creation apps.
Management
Slow Platform Response
Tech firms failed to proactively block deepfake ads and accounts.
Inadequate Safety Safeguards
Platforms failed to build scalable tools to protect users from search indexing.
Regulatory Environment
Legal Loopholes in Creation
UK law bans sharing deepfakes but does not criminalize their creation.
Delayed Regulatory Enforcement
Ofcom rules under the Online Safety Act are not yet fully in force.
AI system involved
Identified by automated extraction; can differ from the alleged developers above.
