In this article, we discuss why Generative AI hallucinates. Is it based on the quality of training data? How can we get output that has minimum hallucination? Is Artificial Intelligence biased? How to Mitigate Bias in Generative AI? We discuss these in this article. Introduction You should understand first how AI Models work. AI takes input from innumerable sources of information such as web pages on the World Wide Web, Books, Journals, Articles, and so on. These data are stored as nodes in Neural Networks. Generative AI just predicts the next most probable word. The next Node connection path it should take to churn out the answer to your question. That means no data scientist can ever examine or predict the output of Generative AI. It is just connections between words. How will you examine connections between words? Hallucinations of Generative AI It is a common misbelief that AI Large Language Models hallucinate and give out non-existent information. It does not make up a...