AI fraud is not just a concern, it's a pressing issue. As artificial intelligence technologies advance, fraudsters are developing increasingly sophisticated methods to exploit these systems. Typical forms of AI fraud include deepfakes, which use AI to create convincing fake images, audio, or videos for disinformation, blackmail, or identity theft, and advanced phishing schemes that leverage AI to craft highly personalized and deceptive messages. Addressing and understanding AI fraud is not just crucial, it's urgent for individuals, businesses, and governments to protect against these evolving threats. 

Join Alejandro Leal and Pavel Goldman-Kalaydin, Head of AI and Machine Learning at Sumsub, as they delve into the growing issue of AI fraud.

Themes:

• AI fraud
• Deepfakes
• Global trends
• Regulation

Chapters:

00:00 - Introduction and Background

01:13 - Understanding AI Fraud

02:11 - Examples of AI-Driven Fraud

08:02 - Global Trends in AI-Driven Fraud

13:55 - Preventing AI-Driven Fraud

18:11 - The Future Evolution of AI Fraud

22:38 - Conclusion and Final Thoughts