On the Importance of Explainability
Offered By: WeAreDevelopers via YouTube
Course Description
Overview
Explore the critical concept of explainability in Artificial Intelligence through this 32-minute conference talk by Holzinger at WeAreDevelopers. Delve into the challenges AI faces in providing reasoning behind its decisions, despite surpassing human performance in areas like face recognition and image classification. Examine the growing importance of explainable AI, particularly in sensitive fields such as medicine and law, and learn about new regulations requiring future AI systems to justify their actions. Gain insights into the complexities of creating transparent and accountable AI systems that can answer the crucial question: "Why?"
Syllabus
On the importance of explainability | Holzinger
Taught by
WeAreDevelopers
Related Courses
Knowledge-Based AI: Cognitive SystemsGeorgia Institute of Technology via Udacity AI for Everyone: Master the Basics
IBM via edX Introducción a La Inteligencia Artificial (IA)
IBM via Coursera AI for Legal Professionals (I): Law and Policy
National Chiao Tung University via FutureLearn Artificial Intelligence Ethics in Action
LearnQuest via Coursera