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AI Granny Daisy Wastes Scammers’ Time And Protects Victims
Daisyvirtual granny with artificial intelligence developed by O2 from Virgin Mediarevolutionizes phone scam prevention by wasting scammers’ time while protecting potential victims. Designed to imitate a polite, slightly forgetful older woman, Daisy engages the scammers in long-winded conversations, effectively neutralizing their plans. Her advanced natural language processing and humor-filled behavior makes a difference against those who prey on vulnerable people, especially the elderly.
As I noticed ForbesIn one case, Daisy was able to keep the scammer on the line for over an hour, moving the conversation to topics about her cats, family stories and recurring questions. In the end, the scammer was visibly upset, realizing that the AI had outsmarted him. This approach is not only waste of time scammers but also undermines their effectiveness by reducing the number of potential victims they can target.
Key features of Daisy, developed in collaboration with anti-fraud expert Jim Browning, include:
- Realistic Conversations: Advanced artificial intelligence allows Daisy to respond convincingly to scammers’ scripts.
- Scenario Walkthroughs: She redirects calls to humorous jokes and requests to repeat, thereby attracting scammers.
- Unshakable calm: Daisy’s polite behavior neutralizes the fear tactics often used by scammers.
Telephone scams, which often exploit fear and confusion, disproportionately target older adults. Daisy’s calm persistence thwarts this tactic, turning every call into a dead end for the scammers. While her efforts may not completely solve the problem of fraud, they represent a step forward in using technology to combat fraud.
Daisy’s success demonstrates the potential of AI in preventing fraud by bringing justice and satisfaction to those affected by fraud. By offering scammers an annoying but fruitless meeting, Daisy highlights how technology can protect the vulnerable and fight back against scams.
Filed in AI (artificial intelligence).
. Read more about2024-12-31 20:29:41