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Photo by Markus Winkler on Pexels Explainable AI (XAI) for Algorithmic Transparency in Automation Introduction to Explainable AI Explainable AI (XAI) refers to methods and techniques used to make AI systems' decision-making processes more understandable to humans. As AI systems become more integrated into various aspects of life and business through automation, the need for transparency in their operations has increased. XAI provides insights into how AI models arrive at specific conclusions, allowing stakeholders to understand and trust these systems. The Importance of Algorithmic Transparency Algorithmic transparency is the ability to understand how an algorithm works, what data it uses, and how it makes decisions. This transparency is essential for several reasons: Accountability: Transparency enables accountability. When an AI system makes an error or produces ...