A Survey of the Various Methodologies Towards making Artificial Intelligence More Explainable

As a result, many tasks that one would traditionally attribute to being done by a human being are being performed by machine learning (ML) and artificial intelligence (AI) based models. Hence it is not surprising to see machine learning models being deployed in areas where historically, due to the nature of the tasks, it would require the involvement of a human, e.g., getting a loan/ receiving a bail judgment. Unfortunately, many of these state-of-the-art machine learning or artificial intelligence-based systems are so complex that we are unable to understand why they made such a decision. This lack of clarity contributes to such models being viewed as a black box whose content/logic is unknown. A natural consequence of the increasing involvement of machine learning models in decisionmaking processes is that these decisions either directly or indirectly impact individuals.