AI incident #908 ·
Deepfake Images of Australian Teacher Hannah Grundy and 25 Others Created and Circulated Online by Former Friend
What happened
Australian teacher Hannah Grundy discovered her face had been superimposed onto pornographic images using AI deepfake technology, which were shared online alongside personal details. A former trusted friend, Andrew Thomas Hayler, was found responsible, targeting 26 women, including Grundy and close friends, over two years. Hayler pleaded guilty to multiple charges and was sentenced to nine years in prison.
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 (9)
Coverage catalogued by the AI Incident Database. Titles link to the original publisher; the text is not reproduced here.
Who was involved
- Alleged deployer
- Andrew Thomas Hayler
- Alleged developer
- Deepfake Technology Developers
- Alleged harmed party
- Hannah Grundy, Colleagues Of Hannah Grundy, Former Friends And Acquaintances Of Andrew Thomas Hayler
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.
- 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."
- IP/copyright loss
"IP/copyright loss - Misuse or abuse of an individual or organisation’s intellectual property, including copyright, trademarks, and patents."
- 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."
- 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."
- 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...
- Cheating/plagiarism
"Cheating/plagiarism - Use of another person’s or group’s words or ideas without consent and/or acknowledgement."
- 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...
- 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...
Incidents in the same risk subdomain
- Italian Mediaset Journalist Safiria Leccese's Image Was Reportedly Used in a Purportedly AI-Generated Fake Loan Scam
- Scammers Reportedly Used AI-Cloned Daughter's Voice to Defraud Bay Area Mother in Fake Kidnapping Call
- Texas Man Arturo Hernandez Allegedly Published AI-Generated Deepfake Pornography Depicting Women in TAKE IT DOWN Act Case
- Guelph, Ontario, Woman Reportedly Lost $14,000 in Purported Deepfake MrBeast Cryptocurrency Scam
- Purportedly AI-Recreated Clips from Beastie Boys' 'Sabotage' Video Reportedly Appeared in FBI Promotional Video Posted by Kash Patel
- Ahmedabad Aadhaar Fraud Racket Reportedly Used Purportedly AI-Generated Deepfakes to Change Businessman's Linked Mobile Number