Learn how explainable artificial intelligence (XAI) works and how it will impact data science-related projects and businesses.
Overview
Syllabus
Introduction
- Explainable AI: Expanding the frontiers of artificial intelligence
- Introduction to AI and ML
- What is XAI?
- XAI techniques
- The need for XAI: Business
- The need for XAI: Legal
- Limitations of XAI
- Humans are better at some things
- Computers are better at some things
- Combining the strengths of humans and machines
- Example: Centaur chess
- Simple example: Driving directions
- Medical example: Explainability for surgical health care and medicine
- Business example 1: Marketing
- Business example 2: Fraud detection
- Full adoption will take time
- Invest in XAI
- Summary
Taught by
Aki Ohashi