The Roko's Basilisk podcast discusses how to make money by creating artificial intelligence fraud detection software. The podcast explains that fraudulent activities cost businesses millions of dollars each year, making artificial intelligence and machine learning valuable tools for detecting potential fraud and alerting businesses to potential risks. There are three types of fraud detection software: supervised machine learning algorithms, unsupervised machine learning algorithms, and hybrid fraud detection systems that use both supervised and unsupervised algorithms. To create fraud detection software, you need to decide what type of algorithm you want to use, research the best algorithms, collect data to train your algorithm, and test your algorithm to make sure it is working correctly. You can make money from fraud detection software by creating a software-as-a-service product that businesses can purchase and use, creating a one-time product that businesses can buy and use, or working with businesses to help them develop and implement their own fraud detection software. Fraud detection using AI involves collecting data from various sources, preprocessing the data, training the algorithm, and using the model to detect fraud in real time.
