Generative AI Fraud

Generative AI fraud is a type of artificial intelligence (AI) fraud that involves creating fake new content, such as images, videos, and sounds. This type of fraud is commonly used by criminals for identity theft, disinformation, and other types of fraud and financial crimes.

In general, generative AI mimics human intelligence and is capable of learning and applying knowledge in areas like programming, art, language, or science. Companies can use generative AI for product design, implementing virtual assistants, etc. Despite the positive use cases, by using this AI advancement, criminals can create new fraud risks, especially when it comes to bypassing Know Your Customer (KYC) checks. For example, deepfakes are used in this sense. 

Frequently asked questions


What is the Definition of Generative AI?


Generative AI is a modern type of artificial intelligence that is trained on data to use that training data and create new content, such as images, audio, video, and text. Generative AI follows learned patterns and rules and is based on machine learning methods, such as generative adversarial networks (GANs). For example, if it’s trained on pictures of dogs, the model learns that dogs have two ears, four legs, etc. 


What is a Generative Adversarial Network (GAN)?


What is an Example of Generative AI Fraud?


How to Combat Fraudulent AI-Generated Fraud?


Are there Any Legal Issues with Generative AI?


Is ChatGPT Generative AI?


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