Model Explainability Forum - #401
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
00:00
Unlocking Trust: The Necessity of Explainability in AI
This chapter emphasizes the critical role of explainability in machine learning and AI systems, particularly within public policy contexts. It highlights the need for tailored explanation methods that foster trust and effective decision-making across various sectors, including healthcare and finance. Additionally, it discusses the challenges and unique requirements faced by different stakeholders, advocating for a collaborative approach to enhance the transparency and understanding of AI systems.
Transcript
Play full episode
