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Explainable AI Clarity in Black Boxes

Explainable AI: Shedding Light on the Black Box In this episode, we dive into the fascinating and crucial world of Explainable AI (XAI). With artificial intelligence making decisions in numerous aspects of our lives, understanding how these decisions are made is more important than ever. We explore the core challenges of AI transparency, the methods used in XAI such as decision trees and post hoc explainability, and the impact these methods have across various fields like banking, criminal justice, and autonomous vehicles. Join us as we unpack the complexities and highlight the importance of building trust, fairness, and transparency in AI systems. 00:00 Introduction and Welcome Back 00:13 What is Explainable AI? 01:01 Real-World Applications of Explainable AI 03:05 Approaches to Explainable AI 04:57 Tools and Techniques for Explainable AI 07:16 The Importance of Explainability 08:12 Implementing Explainable AI in Practice 11:15 Conclusion and Final Thoughts References and Additional Resources: https://www.qlik.com/us/augmented-ana.... https://www.netapp.com/blog/explainab... https://pmc.ncbi.nlm.nih.gov/articles....