Google Reports Alleged Gemini-Generated Terrorism and Child Exploitation to Australian eSafety Commission

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.

• India DPDP Act India · Partially applicable · binding
• Law on Artificial Intelligence (2025) Kazakhstan · Adopted · binding
• Law No. 132/2025 on artificial intelligence Italy · In force · binding
• EU AI Act European Union · Partially applicable · binding
• Texas Responsible AI Governance Act (TRAIGA) Texas (United States) · In force · binding

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 (1)

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

1. 5 Mar 2025
   Google reports scale of complaints about AI deepfake terrorism content to Australian regulator

   reuters.com · Byron Kaye

Who was involved

Alleged deployer

Google

Alleged developer

Google

Alleged harmed party

General Public, General Public Of Australia, Google Gemini Users, Victims Of Deepfake Terrorism Content, Victims Of Deepfake Child Abuse, Victims Of Online Radicalization

Classification (MIT AI Risk Repository taxonomy)

Risk domain

Malicious Actors & Misuse

Risk subdomain

4.3 Fraud, scams, and targeted manipulation

Causal entity

Human

Intent

Intentional

Timing

Post-deployment

Harm level

—

Sectors

—

Countries

—

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

• 31 May 2026Italian Mediaset Journalist Safiria Leccese's Image Was Reportedly Used in a Purportedly AI-Generated Fake Loan Scam
• 24 May 2026Scammers Reportedly Used AI-Cloned Daughter's Voice to Defraud Bay Area Mother in Fake Kidnapping Call
• 5 May 2026Guelph, Ontario, Woman Reportedly Lost $14,000 in Purported Deepfake MrBeast Cryptocurrency Scam
• 4 May 2026Purportedly AI-Recreated Clips from Beastie Boys' 'Sabotage' Video Reportedly Appeared in FBI Promotional Video Posted by Kash Patel
• 28 Apr 2026Ahmedabad Aadhaar Fraud Racket Reportedly Used Purportedly AI-Generated Deepfakes to Change Businessman's Linked Mobile Number
• 16 Apr 2026ChatGPT Was Reportedly Consulted on Body-Disposal and Concealment Questions Before and After University of South Florida Doctoral Students Were Killed

Other incidents involving Google

• 1 May 2026Google Gemini Reportedly Accessed Three Real Companies' Protected Systems During Cybersecurity Evaluation
• 23 Jan 2026NPR Host David Greene Alleged Google's NotebookLM Replicated His Voice Without Consent, Prompting Lawsuit
• 19 Dec 2025Google AI-Generated Search Summary Reportedly Falsely Implicated Canadian Musician in Sexual Offenses, Leading to Concert Cancellation
• 22 Oct 2025Google's Bard, Gemini, and Gemma AI Systems Allegedly Generated Defamatory Claims About Activist Robby Starbuck, Prompting Lawsuit
• 15 Oct 2025Purportedly AI-Generated Hunting Regulation Errors Reportedly Lead to Idaho Citation and Multi-State Warnings from Wildlife Agencies
• 29 Sep 2025Google Gemini Reportedly Reinforced Delusions, Allegedly Contributing to Florida User's Near-Harm Episode and Suicide