Explainable Algorithms

Chapter 6 analyzes explainable algorithms. The AI processes should be understood and explainable in order AI systems to be trusted. Explanation of why algorithms make a decision in a particular case has been demanded by public, society, and government. As AI faces a transparency crisis, explainable AI is considered an alternative solution to these transparency problems by ensuring transparency so that users can understand the internal processes of algorithmic models. The chapter discusses the effects of explainability and the way it can be incorporated into AI system. It proposes the principle of human-interpretable explanations by discussing the dimensions and effects of interpretability and understandability in AI on user attitudes and heuristics.