IndexIntroduction AI Epistemology Interest in Epistemology Conclusion Introduction The Earth has music for those who listen, and the charm and melody of the Earth depends on the development of contemporary times. The invention of computer has renovated the world in a completely new way and artificial intelligence (AI) is bringing a revolution for development. Wait a minute! Is artificial intelligence real or not? Wow, this is a new Pandora's box that drags us into a situation where deducing the conclusion from the AI ​​myth/fact is a little harder than you might imagine. Artificial intelligence has produced many questions, and yet, these questions are not answered purely correctly in this era, how can a machine think like a human? Will artificial intelligence defeat human cognitive abilities? and does a machine learn from machine learning and deep learning? etc. Epistemology helps explore the answer to these questions. Let us first briefly explain the epistemology and role/interest of AI in epistemology for better insights. We say no to plagiarism. Get a tailor-made essay on "Why Violent Video Games Shouldn't Be Banned"? Get an original essayEpistemology Epistemology is a branch of science dealing with the theory of knowledge, human cognition, etc. It has helped a lot in the development of Artificial Intelligence throughout history because it allows man to think deeply or below the surface, to explore answers in a new dimension and to question newly discovered answers. In other words, epistemology places AI theory of knowledge in a domain of knowledge validity, scope, justified beliefs or opinions, etc. It is important in the sense that it delimits and defines the limits of our cognitive system for the development of AI. Interest of AI in Epistemology AI shares interest in epistemology and some of these are as follows: Logical decisions/thoughts/opinions of human help the development of AI in a more refined form. Both fields of study are considered complementary disciplines. AI views human instincts or innate behavior from the perspective of the formal and statistical computing paradigm that builds AI's relationship to epistemology. Epistemology opens the doors of knowledge for AI and induces a dynamic approach for AI rather than being static, and the dynamic approach is supported by machine learning, deep learning, data science, etc. Challenges Epistemology is generally divided into four branches and each branch has differences: different views of thought constructions and each poses different types of challenges. Realism According to this concept, things have an absolute existence independent of thoughts, ideas and consciousness, etc. So this absolute existence can be exploited because artificial intelligence forces humans to think computationally and draw some results from it. One of the biggest challenges that realism poses is how to interpret real existence in the machine's subconscious. So in this way, the machine cannot be truly intelligent in its full potential because there is not yet a tool or mechanism available that translates independent existence into machine consciousness. Idealism According to this concept, a person knows things that exist only in the mind. The question arises in mind how to extract knowledge from the mind because knowledge resides only in the mind. Human beings can know the sky but cannot explain every aspect of it. Therefore a branch of epistemology,"..