Blogger Milagro Gramz Allegedly Promoted AI-Generated Pornographic Deepfake Targeting Megan Thee Stallion

A blogger, Milagro Gramz, was reportedly found liable for promoting and amplifying a sexually explicit AI-generated deepfake depicting rapper Megan Thee Stallion as part of an online harassment campaign linked to misinformation about her 2020 shooting. Court filings alleged the blogger encouraged followers to view the altered content and spread defamatory claims. In December 2025, a federal jury reportedly awarded damages for harassment and promotion of the deepfake.

Risk classification

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

The incident involved the creation and targeted dissemination of a sexually explicit deepfake video to humiliate, harass, and defame a specific victim, which aligns with targeted manipulation and humiliating imagery under sub-domain 4.3.

Additional risk subdomains

• 1.2 Exposure to toxic content: The blogger willfully encouraged thousands of social media followers to view the sexually explicit deepfake, exposing a large audience to toxic and non-consensual pornographic content.
• 3.1 False or misleading information: The deepfake video generated and spread false visual information depicting the victim in a sexual act she did not participate in.

Causal factors

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

The harm was caused by a human blogger intentionally sharing and promoting a sexually explicit deepfake video to harass and defame the victim after the AI model's deployment.

EU AI Act risk tier

• Risk tier: 3 Limited Risk

Risk Level 3: Limited Risk. The EU AI Act classifies 'AI-generated content such as deepfakes' under Limited Risk, which imposes specific transparency obligations to ensure users are informed that the content is AI-generated.

AI system and alleged parties

• AI system: unspecified
• AI purpose: Deepfake Video Generation; Social Media Content Generation
• Behaviour type: Tool
• Alleged developer: Unknown deepfake technology developers
• Alleged deployer: Unknown deepfake creators, Milagro Gramz
• Alleged harmed parties: Megan Thee Stallion, Epistemic integrity

Harm severity

Severity ratings are based on this scale.

Highest direct severity in any category: Substantial. 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 Minor, indirect Minor
• Environmental: direct Negligible, indirect Negligible
• Malicious content: direct Substantial, indirect Substantial
• Differential treatment: direct Negligible, indirect Negligible
• Civil rights: direct Minor, indirect Negligible
• Democracy: direct Negligible, indirect Negligible
• Privacy: direct Minor, indirect Minor
• Psychological: direct Minor, indirect Negligible
• Epistemic: direct Minor, indirect Minor
• Child sexual exploitation and abuse: direct Negligible, indirect Negligible

Financial

Reported: The report explicitly describes financial losses in the form of legal damages and fees caused directly and indirectly by the incident.

Directly caused: The court ordered the defendant to pay $59,000 in compensatory and punitive damages to the victim for intentional infliction of emotional distress and promotion of an altered sexual depiction.

Indirectly caused: The defendant was also required to cover the costs of the victim's legal bills under Florida's fee-shifting legal provision.

Inferred additional harm: The victim likely incurred significant personal and professional costs, including public relations management and security, though these are not quantified in the report.

Malicious content

Reported: The report explicitly describes toxic and malicious content created and spread directly and indirectly by the incident.

Directly caused: A sexually explicit, pornographic deepfake video of the victim was created and circulated on social media platforms.

Indirectly caused: The blogger willfully encouraged thousands of her followers on X and Instagram to view the sexually explicit deepfake video.

Inferred additional harm: The deepfake video likely remains accessible on various online platforms, continuing to expose internet users to non-consensual explicit content.

Civil rights

Reported: The report explicitly describes violations of human or civil rights caused directly by the incident.

Directly caused: The victim's right to control her own intimate depiction was violated through the creation and promotion of a non-consensual pornographic deepfake.

Privacy

Reported: The report explicitly describes privacy violations caused directly and indirectly by the incident.

Directly caused: The victim's privacy was violated by the creation of a non-consensual pornographic deepfake depicting her in an intimate act.

Indirectly caused: The blogger violated the victim's expectation of privacy by promoting and sharing the intimate deepfake video to thousands of social media followers.

Psychological

Reported: The report explicitly describes psychological and mental-health harm to the victim caused directly by the incident.

Directly caused: Megan Thee Stallion suffered severe mental distress, anxiety, and mental health issues as a result of the targeted harassment and the dissemination of the deepfake video.

Epistemic

Reported: The report explicitly describes epistemic harm caused directly and indirectly by the incident.

Directly caused: The deepfake video fabricated a false depiction of the victim engaging in a sexual act, creating a false narrative about her personal life.

Indirectly caused: The blogger used the deepfake and other false claims to run a campaign of harassment and misinformation against the victim.

Inferred additional harm: The proliferation of high-quality deepfakes of public figures erodes public trust in visual evidence and the shared information ecosystem.

People affected

• Occurrences reported: 1
• People reportedly harmed: 1
• People reportedly exposed: 2000

Potential causes

Management

• Platform Accountability Deficit: Social media management failed to prevent viral spread of deepfake harassment.

Technology

• Deepfake Generation: Sophisticated AI tools enabled the creation of the realistic explicit video.

Data Inputs

• Biometric Likeness Theft: Victim's personal likeness was harvested to generate unauthorized explicit media.

Human Factors

• Willful Harassment by Blogger: The blogger actively encouraged followers to view the explicit deepfake.
• Targeted Cyberbullying: Followers participated in the spread and harassment of the victim.

Process and Methods

• Ineffective Content Moderation: Social media platforms allowed the deepfake video to circulate widely.
• Lack of Source Verification: No verification process existed to block non-consensual altered media.

Regulatory Environment

• Inadequate Civil Protections: The legal system relied on retroactive defamation suits rather than prevention.

Information quality

• Classification confidence: High
• Reason for confidence: The reports provide clear and consistent details about the legal trial, the jury's verdict, the specific damages awarded ($59,000), and the nature of the AI-generated content (a sexually explicit deepfake). The role of the blogger in promoting the deepfake is explicitly documented across multiple reputable news sources.
• Ambiguities identified: The specific AI software or model used to generate the deepfake is not identified in the reports.
• Alternative interpretations: None. The legal verdict clearly establishes the facts of the case regarding the deepfake's promotion and the resulting harm.

A federal jury found a blogger liable for promoting an AI-generated sexually explicit deepfake of a public figure. While representing a severe individual privacy violation and highlighting the growing legal accountability for non-consensual synthetic media, the incident has negligible direct national security implications.

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

Threat characteristics

• Imminence: Long-term. Represents an ongoing societal and legal challenge regarding deepfakes rather than an active national security crisis.
• Autonomy: Human-controlled. The AI system was strictly used as a tool by human actors to generate content, with humans controlling the distribution.
• Novelty: Established threat. The generation of non-consensual deepfake pornography is an established threat, though the civil liability ruling is a notable legal development.

Impact by dimension

• Physical security: Negligible. No physical threat, kinetic targeting, or critical infrastructure impact occurred in this incident.
• Information security: Minor. Involves localized harassment and targeted deepfake dissemination against an individual, lacking state-sponsored scale or threat to national intelligence.
• Sovereignty: Negligible. No threat to state sovereignty, elections, or core government decision-making processes.
• Economic security: Negligible. No systemic threat to national financial systems, strategic industries, or technological competitive advantage.
• Societal stability: Minor. Constitutes a severe violation of individual privacy and civil rights, but lacks the population-scale impact to destabilize society.