Analysis reveals AI's role in targeting scams and fraud detection methods, suggesting new prevention strategies.
The use of artificial intelligence technologies has brought a new and more sophisticated dimension to telephone scams. These technologies allow scammers to target their victims more effectively. This article examines the impact of AI on victim profiling, sentiment analysis, voice mimicry technologies, and AI-assisted conversation methods in fraud. AI algorithms can make targeting more precise by profiling individuals through social media and digital traces. Sentiment analysis can detect fraudulent intentions by analysing the content of scam messages and adapt strategies in real-time. Voice mimicry technologies allow scammers to manipulate their victims using trustworthy voices. AI- assisted conversation systems make fraud scenarios more convincing and effective. These developments necessitate the evolution of fraud detection and prevention strategies. Fraud filters and AI detection applications should be developed to prevent the misuse of AI technologies. In addition, the development of AI-assisted applications for smartphones can help individuals and institutions be more prepared against fraud attempts. Such applications can more effectively detect fraud by offering features such as real-time sentiment analysis, voice mimicry detection, and profile analysis. By ensuring the ethical and responsible use of AI products, security in the digital world can be increased. These types of systems, which will be developed, will protect users by detecting fraud attempts at an early stage and will increase trust in the digital world.
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YILDIRIM et al. (2025) studied this question.
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