Building Trust in AI Business Decisions with Explainability

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This presentation explores the significance of Explainable AI (XAI) in enhancing transparency and trust in business decision systems. It highlights the challenges involved in AI trust, outlines research goals, and examines methodologies, including SHAP and LIME techniques. By showcasing their impact on business analytics and ethical decision-making, the presentation underscores the importance of integrating XAI for better transparency. Concluding insights focus on the anticipated...