AI-driven romance scams surge globally ahead of Valentine's Day
Criminals are using AI to create increasingly sophisticated romance scams targeting people on dating apps and social media, particularly ahead of Valentine's Day. The technology analyzes victims' personal information to craft automated, emotionally manipulative conversations. Australians have lost over $220 million to romance scams since 2020.
What happened
Scammers are using AI to analyze social media profiles and automatically generate personalized romance scams targeting vulnerable individuals, particularly ahead of Valentine's Day.
The technology allows criminals to craft conversations tailored to each victim based on personal information shared online, such as recent divorces, single parenthood, or bereavement.
Unlike traditional romance scams requiring months or years of manual interaction, AI enables fraudsters to automate and scale their operations significantly.
Reported impact
Australians have lost more than $220 million to dating and romance scams since 2020.
Victims often experience shame and reluctance to report their experiences, complicating recovery and assistance efforts.
Index analysis
UNSW computer science lecturer Lesley Land warned that AI-driven scams are highly sophisticated and emotionally manipulative, using intimate grooming techniques to exploit victims at vulnerable points in their lives.
Consumer advocacy groups including CHOICE, Financial Counselling Australia, Australian Communications Consumer Action Network, and Financial Rights Legal Centre noted that the Commonwealth's Scams Prevention Framework places no obligations on businesses where scams are prevalent, such as dating apps and email services.
Governance controls
Some industries, such as banking, are using AI to attempt to stop scams before they reach customers.
Authorities urge Australians to be aware of warning signs including flawless-looking photos, vague and repetitive answers on dating apps, and fast-moving relationships, and to report suspected scams to police.
Classification
Sources and evidence
Sources not yet published
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