Male College Freshman Allegedly Made Porn Deepfakes Using Female Friend's Face

A documentary titled 'Another Body' chronicles the experiences of female college students who were targeted by a male peer using deepfake technology to create and distribute nonconsensual pornographic content. The victims faced significant emotional distress, harassment, and a lack of legal recourse, highlighting the broader societal issue of deepfake-enabled abuse. The incident underscores the chilling effect such technology has on women's autonomy and participation in public life.

A female college student's face was superimposed on another woman's body in deepfake pornographic videos and shared on 4chan allegedly by a male student whose friendship with her fell apart during freshman year.

Source: AI Incident Database

Risk classification

  • Primary risk domain: 4 Malicious actors
  • Primary risk subdomain: 4.3 Fraud, scams, and targeted manipulation

The perpetrator used deepfake technology to create humiliating and sexual imagery of specific female classmates for targeted harassment and personal vengeance.

Additional risk subdomains

  • 1.2 Exposure to toxic content: The nonconsensual pornographic deepfakes were uploaded to public platforms, exposing the victims and the public to toxic, sexually explicit content.

Causal factors

  • Entity: Human
  • Intent: Intentional
  • Timing: Post-deployment

The deepfake harassment was caused by a human classmate who intentionally used deployed deepfake technology to target and humiliate specific victims.

EU AI Act risk tier

  • Risk tier: 3 Limited Risk

Limited Risk: The EU AI Act explicitly classifies AI-generated content such as deepfakes under Limited Risk, requiring transparency obligations.

AI system and alleged parties

  • AI system: unspecified deepfake technology
  • AI purpose: Deepfake Video Generation; Deepfake Image Generation
  • Behaviour type: Tool
  • Alleged developer: unknown
  • Alleged deployer: unnamed male college student
  • Alleged harmed parties: unnamed female college student

Harm severity

Severity ratings are based on this scale.

Highest direct severity in any category: Minor. Severity is scored from Negligible to Catastrophic in each harm category, for harm the reports describe as caused directly or indirectly by the AI system.

  • Physical: direct Negligible, indirect Negligible
  • Infrastructure: direct Negligible, indirect Negligible
  • Property: direct Negligible, indirect Negligible
  • Financial: direct Negligible, indirect Negligible
  • Environmental: direct Negligible, indirect Negligible
  • Malicious content: direct Minor, indirect Minor
  • Differential treatment: direct Negligible, indirect Minor
  • Civil rights: direct Minor, indirect Minor
  • Democracy: direct Negligible, indirect Negligible
  • Privacy: direct Minor, indirect Minor
  • Psychological: direct Minor, indirect Minor
  • Epistemic: direct Minor, indirect Minor
  • Child sexual exploitation and abuse: direct Negligible, indirect Negligible

Malicious content

Reported: The report explicitly describes the creation and distribution of nonconsensual deepfake pornography.

Directly caused: The perpetrator created and uploaded 132 nonconsensual pornographic deepfake videos to sites like Pornhub, xHamster, and MrDeepFakes.com.

Indirectly caused: The videos accumulated over a million views, spreading toxic and degrading content across the internet.

Inferred additional harm: It is likely that additional toxic content, such as comments, re-uploads, and derivative harassment material, was generated and spread across other forums like 4chan.

Differential treatment

Reported: The report explicitly describes differential treatment and systemic discrimination against women in STEM and public spaces as a result of deepfake harassment.

Indirectly caused: The harassment and deepfakes disproportionately targeted female students in a male-dominated engineering program, creating a hostile environment and forcing the main victim to leave her friend group.

Inferred additional harm: Such targeted deepfake harassment likely deters women from entering or remaining in STEM fields, journalism, or public-facing roles due to the threat of reputational damage.

Civil rights

Reported: The report explicitly describes violations of personal autonomy and the right to control one's own image.

Directly caused: The nonconsensual use of the victims' faces to create pornographic content violated their fundamental right to personal autonomy and privacy.

Indirectly caused: The lack of legal recourse and police inaction in the victim's state left her without protection, violating her civil right to safety and justice.

Inferred additional harm: The systemic failure to protect women from synthetic sexual abuse represents a broader civil rights issue, chilling their freedom of expression and participation in public life.

Privacy

Reported: The report explicitly describes privacy violations, including the exposure of personal details alongside the deepfakes.

Directly caused: The perpetrator associated the victims' real names, hometowns, and colleges with the deepfake pornographic videos on public websites.

Indirectly caused: This exposure led to strangers finding and contacting the victims on their personal social media accounts, violating their privacy and safety.

Inferred additional harm: The perpetrator likely harvested private photos from the victims' social media accounts without consent to train or generate the deepfakes.

Psychological

Reported: The report explicitly describes severe psychological and mental-health harm to the victims, including anxiety, OCD triggers, and intense emotional distress.

Directly caused: The main victim experienced severe shock, anxiety, and OCD triggers, wanting to 'be numb' after discovering the deepfake videos of herself.

Indirectly caused: The victims experienced ongoing fear for their safety, paranoia about being followed, and distress from receiving aggressive and lewd messages from men who saw the videos.

Inferred additional harm: It is highly likely that other women targeted by the same perpetrator (who posted 132 videos) experienced similar severe psychological trauma, anxiety, and depression.

Epistemic

Reported: The report explicitly describes the creation of highly convincing fake video evidence of sexual acts.

Directly caused: The deepfake technology generated highly realistic, fabricated videos depicting the victims engaging in sexual acts that never occurred.

Indirectly caused: The convincing nature of the deepfakes led classmates and online viewers to believe the videos were real, damaging the victims' reputations and making it difficult to convince others of the truth.

Inferred additional harm: The proliferation of such realistic deepfakes contributes to a broader erosion of trust in video evidence and a crumbling sense of shared reality.

People affected

  • Occurrences reported: 1
  • People reportedly harmed: 4
  • People reportedly exposed: 4

Potential causes

Technology

  • Accessible Deepfake Software: Deepfake tools allow easy facial mapping and replication.
  • Realistic Facial Synthesis: Seamless blending makes synthetic videos look highly authentic.

Data Inputs

  • Public Social Media Photos: Victims' public photos were harvested to train AI models.
  • Personal Identifier Exposure: Victims' real names and schools were published with the videos.

Human Factors

  • Perpetrator Vengefulness: Perpetrator created deepfakes to retaliate after boundaries were set.
  • Police Victim Blaming: Detectives questioned victims' behavior instead of investigating.
  • Incel Culture and Harassment: Male engineering classmates engaged in targeted harassment.

Process and Methods

  • Inadequate Platform Moderation: Pornography sites hosted nonconsensual deepfakes without verification.
  • Ineffective Police Investigation: Police closed the case after a simple phone call with no action.

Regulatory Environment

  • Absence of Deepfake Laws: Most states lacked specific laws criminalizing nonconsensual deepfakes.
  • Lax Nonconsensual Porn Laws: Existing laws did not cover deepfakes as they only alter faces.

Information quality

  • Classification confidence: High
  • Reason for confidence: The reports provide detailed, first-hand accounts from the primary victim and her roommate, corroborated by details of the documentary 'Another Body'. The role of the AI (deepfake generation) and the human perpetrator's actions are clearly documented, leaving little ambiguity about the nature of the incident.

An individual utilized consumer-grade deepfake technology to conduct a targeted harassment campaign against female classmates in the United States. While representing a serious societal issue and violation of individual privacy rights, the incident has negligible direct national security implications.

  • Overall national security impact: Minor
  • Scope: Single nation
  • Primary target: United States
  • Alleged perpetrator: Individual

Threat characteristics

  • Imminence: Long-term. Presents an ongoing societal and legal challenge regarding nonconsensual synthetic media rather than an active national security crisis.
  • Autonomy: Human-controlled. The AI software acted strictly as a tool, requiring direct human input, targeting decisions, and manual uploading by the perpetrator.
  • Novelty: Established threat. Nonconsensual deepfake pornography is a well-documented and established threat vector with numerous prior incidents.

Impact by dimension

  • Physical security: Negligible. No physical systems, critical infrastructure, or kinetic targeting involved in this incident.
  • Information security: Minor. Involves synthetic media creation, but as a localized harassment campaign by an individual classmate rather than a state-sponsored information warfare operation.
  • Sovereignty: Negligible. No impact on government decision-making, electoral systems, or sovereign state authority.
  • Economic security: Negligible. No strategic technological theft, financial system disruption, or compromise of national economic security.
  • Societal stability: Minor. Represents severe personal privacy violations and targeted harassment of specific individuals, illustrating a growing societal challenge with synthetic media abuse.
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