Dive into the fascinating Explainable AI (XAI) field with the Before AGI podcast! Learn about the black box problem in AI and how tools like LIME and SHAP make AI decisions more transparent.
🔍 Highlights:
Understanding the black-box nature of AI
Techniques for Explainability in AI Systems
Balancing accuracy vs. explainability
Ethical considerations and the future of XAI
Real-world use cases in healthcare, finance, and telecom
🎧 Tune in to explore how XAI shapes a more accountable and trustworthy AI landscape!
More from Ian Ochieng:
🌐 Website: ianochiengai.substack.com
📺 YouTube: Ian Ochieng AI
🐦 Twitter: @IanOchiengAI
📸 Instagram: @IanOchiengAI
