Description
Product Category: Step-by-Step Guides
Format: PowerPoint
A Step-by-Step Guide to Developing Explainable AI (XAI) Models
Explainable AI (XAI) addresses one of the key challenges in AI adoption: transparency. As AI systems are increasingly embedded into decision-making processes, stakeholders—ranging from executives and regulators to end-users—demand explanations about how these systems work and how they make decisions. Developing XAI models increases trust, accountability, and fairness, ensuring AI aligns with business objectives and ethical guidelines. Here is a structured approach to building explainable AI models that are both effective and transparent.
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