AIPolicyTracker

AI incident ·

Michigan Woman Defrauded in Alleged Tinder Romance Scam Using Purportedly AI-Generated Video Calls

7 news reports Snapshot 7 Sep 2026

In brief

An AI system built by Deepfake Technology Developers and Synthetic Audio Generation Technology and deployed by Yahoo Boys and Unknown Scammer "Richard" allegedly harmed Tinder and Beth Hyland.

Risk domain
Malicious Actors & Misuse Fraud, scams, and targeted manipulation
Occurred
Coverage
7 reportsFeb 2025 - Jun 2025

What happened

A Michigan woman, Beth Hyland, was reportedly defrauded of $26,000 in a romance scam conducted over Tinder, in which the perpetrator, "Richard," used purportedly AI-generated video technology during Skype calls to build trust. The scammer, allegedly part of Nigerian Yahoo Boys networks, reportedly posed as a French construction manager and claimed to need funds for legal and translation services. Hyland reportedly sent funds over several months. She later spoke at a U.S. Senate hearing on dating

Laws that address this harm

Policy angle: Classified under Malicious Actors & Misuse (Fraud, scams, and targeted manipulation) in the MIT AI Risk Repository taxonomy; 5 recorded instruments address this use case.

Matched from the record's risk domain and country to the instruments recorded here. A reviewer can correct the match in the repository (data/external/incident_overrides.yaml).

News reports (7)

Titles link to the original publisher; report text is not reproduced here.

  1. Victims of 'romance scams' turn to Congress for help
    nbcnews.com · Kate Santaliz, Julie Tsirkin
  2. Deepfake romance scam leaves woman $26,000 in debt
    khaleejtimes.com · Reuters, Khaleej Times
  3. Tinder for a firestorm: deepfake video quality fuels romance baiting scams
    timeslive.co.za · Kim Harrisberg, Adam Smith, Thomson Reuters Foundation
  4. Deep love or deepfake: Dating in the time of AI
    japantimes.co.jp · Thomson Reuters Foundation, The Japan Times
  5. Deepfake Romance Scam Leaves Woman $26,000 In Debt
    menafn.com · MENAFN, Khaleej Times

Who was involved

Alleged harmed party
Tinder, Beth Hyland

Classification (MIT AI Risk Repository taxonomy)

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

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

  • 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)

  • 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)

  • 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)

  • 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)

  • 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)

  • Misinformation and Manipulation

    "Recent studies have demonstrated that LLMs can be exploited to craft deceptive narratives with levels of persuasiveness similar to human-generated content (Pan et al., 2023b; Spitale et al., 2023), to fabri- cate fake n...

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

  • 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)

Incidents in the same risk subdomain

All incidents in this subdomain

Source record: incident #1105 on the AI Incident Database · all 7 reports