Login Sign Up

Learning XAI: Explainable Artificial Intelligence

Via LinkedIn Learning

LinkedIn Learning based on 146 ratings

Share

0

Overview

The “Learning XAI: Explainable Artificial Intelligence” course is designed to introduce learners to the essential concepts, tools, and techniques of XAI—an emerging field that aims to make AI systems more transparent, interpretable, and trustworthy. Targeted at data scientists, AI developers, business analysts, and decision-makers, the course addresses the growing need for AI models that are not only accurate but also understandable to humans. Participants will explore why explainability matters, particularly in high-stakes domains like healthcare, finance, and legal systems where...

Syllabus

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
Learning XAI: Explainable Artificial Intelligence
Go to Class

via LinkedIn Learning

1 hour 14 minutes

Certificate Available

English

On-Demand

Instructor

Walt Ritscher

Reviews

No reviews yet. Be the first to review!