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Brazilian Authorities Reportedly Link AI-Generated Marcos Mion Videos to Purported Fake Restaurant Promotions in Brazil

2 news reports Snapshot 7 Sep 2026

In brief

An AI system built by Synthetic Audio Generation Technology Developers, Deepfake Technology Developers and 1 other and deployed by Unnamed 24 Year Old Male Suspect From Santa Helena De Goias, Money Launderers and 1 other allegedly harmed Outback Steakhouse, Marcos Mion and 3 others.

Risk domain
Malicious Actors & Misuse Fraud, scams, and targeted manipulation
Occurred
Coverage
2 reportsMay 2025

What happened

A 24-year-old man was reportedly arrested in Santa Helena de Goiás, Brazil, for allegedly using deepfake technology to impersonate TV host Marcos Mion in a fraudulent scheme. Authorities say he created fake promotional videos and websites mimicking the Outback Steakhouse restaurant chain to sell nonexistent discount vouchers. The arrest was reportedly part of Operation VoiceOver, a police initiative targeting AI-driven consumer scams. Charges reportedly include fraud, criminal association, and m

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 (2)

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

  1. Hacker Arrested For Using Deepfake Of Marcos Mion In Scam
    evrimagaci.org · Evrim Ağacı
  2. Integrante de grupo que fazia deepfake de Marcos Mion é preso em Goiás
    cnnbrasil.com.br · Felipe Souza, Elijonas Maia

Who was involved

Alleged harmed party
Outback Steakhouse, Marcos Mion, General Public Of Brazil, Consumers Who Purchased Fake Outback Vouchers, General Public

Classification (MIT AI Risk Repository taxonomy)

Causal entity
Human
Intent
Intentional
Timing
Post-deployment
Harm level
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Sectors
—
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 #1062 on the AI Incident Database · all 2 reports