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AI incident #1366 ·

Philippines Senate Hearing Featured Reports of Purported AI-Generated Deepfake Pornography Targeting Actress Angel Aquino and Content Creator Queen Hera's Daughter

Open on the AI Incident Database 1 news report Synced from the AIID API · record last edited 6 Sep 2026

What happened

In Manila, actress Angel Aquino reportedly said in a hearing how AI-generated deepfake porn video unlawfully used her face. She reportedly testified at a Senate hearing led by Sen. Risa Hontiveros and urged punishment for creators and those sharing the purported deepfakes. Influencer Queen Hera also reported a deepfake image of her daughter on the dark web; tools and perpetrators were reportedly not identified.

Only the incident metadata is stored here. The underlying news reports are on the AI Incident Database (CC BY-SA 4.0); use the links above to read them.

News reports (1)

Coverage catalogued by the AI Incident Database. Titles link to the original publisher; the text is not reproduced here.

  1. Angel Aquino falls victim to deepfake porn: ‘It’s nauseous’
    entertainment.inquirer.net · Maila Ager · AIID #6838

Who was involved

Alleged harmed party
Women and girls Women Victims of non-consensual deepfakes Victims of deepfake child abuse Victims of deepfake abuse Queen Hera's daughter Queen Hera Privacy Minors Girls Epistemic integrity Angel Aquino
On AIID: Women and girls, Women, Victims of non-consensual deepfakes, Victims of deepfake child abuse, Victims of deepfake abuse, Queen Hera's daughter, Queen Hera, Privacy, Minors, Girls, Epistemic integrity, Angel Aquino

AI systems implicated

Synthetic video generation technologySynthetic media generation technologySynthetic image generation technologyDeepfake technology

Classification (MIT AI Risk Repository taxonomy)

Causal entity
AI
Intent
Intentional
Timing
Post-deployment
Harm level
—
Sectors
—
Countries
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Risk entries describing this failure mode

Entries from the MIT AI Risk Repository coded to subdomain 4.3.

  • Impersonation/identity theft

    "Impersonation/identity theft - Theft of an individual, group or organisation’s identity by a third-party in order to defraud, mock or otherwise harm them."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • IP/copyright loss

    "IP/copyright loss - Misuse or abuse of an individual or organisation’s intellectual property, including copyright, trademarks, and patents."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Dehumanisation/objectification

    "Dehumanisation/objectification - Use or misuse of a technology system to depict and/or treat people as not human, less than human, or as objects."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Defamation/libel/slander

    "Defamation/libel/slander - Use of a technology system to create, facilitate or amplify false perception(s) about an individual, group, or organisation."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Financial and business

    "Financial and Business - Use or misuse of a technology system in a manner that damages the financial interests of an individual or group, or which causes strategic, operational, legal or financial harm to a business or...

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Cheating/plagiarism

    "Cheating/plagiarism - Use of another person’s or group’s words or ideas without consent and/or acknowledgement."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Cybersecurity

    "LLMs may exacerbate cybersecurity risks in various ways (Newman, 2024). Firstly, LLMs may significantly amplify the effectiveness of deceptive operations aimed at tricking people into disclosing sensitive information or...

    Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024)

  • Domain-Specific Misuses

    "Improvements in LLMs may exert greater pressure to apply LLMs to various domains, such as health and education (Eloundou et al., 2023). Crude efforts to use LLMs in such domains, however, may incur harm and should be di...

    Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024)

Linked by AIID editors or by its text-similarity model.

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