Learning XAI: Explainable Artificial Intelligence

Learn how explainable artificial intelligence (XAI) works and how it will impact data science-related projects and businesses.

Introduction

• Explainable AI: Expanding the frontiers of artificial intelligence
• Introduction to AI and ML

1. Explainable AI (XAI)

• What is XAI?
• XAI techniques
• The need for XAI: Business
• The need for XAI: Legal
• Limitations of XAI

2. Humans and Machines Have Different Strengths and Weaknesses

• Humans are better at some things
• Computers are better at some things

3. The Case for Human Machine Collaboration

• Combining the strengths of humans and machines
• Example: Centaur chess

4. Examples of Possible XAI Applications

• Simple example: Driving directions
• Medical example: Explainability for surgical health care and medicine
• Business example 1: Marketing
• Business example 2: Fraud detection

5. Next Steps

• Full adoption will take time
• Invest in XAI

Conclusion

• Summary