Explainable AI and Interpretability
Artificial intelligence (AI) is rapidly transforming various industries around the world, and businesses are leveraging AI technologies to gain a competitive edge. But, AI algorithms are often considered as 'black boxes' since they are highly complex and difficult to understand. As AI becomes more integrated into our daily lives, explainable AI and interpretability have become essential for increasing trust, improving transparency, and enabling responsible decision-making. Explainable AI Explainable AI (XAI) is an emerging field of AI that seeks to provide transparency and understanding behind the decisions made by AI systems. It is an approach that allows humans to understand how an AI algorithm arrived at its decision. XAI involves developing AI models that produce predictions or recommendations that can be easily explained to humans through visualization and other means. The main objective of XAI is to make AI decisions more transparent, interpretable, and trustworthy. Int