Explainable AI (XAI): Why Transparency in Algorithms Matters
In the era of Artificial Intelligence, algorithms are shaping decisions in industries ranging from healthcare to finance and even law enforcement. While these systems have shown exceptional capabilities, their decision-making processes often remain a mystery — a phenomenon referred to as the “black box” problem. Explainable AI (XAI) aims to solve this by making AI models transparent, interpretable, and accountable. XAI ensures that humans can understand why an algorithm made a certain prediction or decision. This is critical for building trust, ensuring fairness, and enabling compliance with regulations. Professionals who enroll in an AI course in Nagpur can gain the expertise needed to design AI models that are not only powerful but also transparent and ethical. Refer these articles: Personalized Marketing with AI: A Complete Guide How Artificial Intelligence Is Transforming Businesses in Nagpur The Importance of Explainability in AI Transparency in AI is not just a technical prefere...