English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 1h 14m | 167 MB
Now that AI and machine learning are widespread, people are starting to ask, “Is the technology actually making the best decisions? Can AI be trusted? How and where do humans fit in?” Explainable artificial intelligence (XAI) is a solution that increases transparency about how AI systems make decisions and take actions. This course provides a solid introduction of how XAI works and the value it provides to data science-related businesses and initiatives from legal and commercial perspectives. Instructor Aki Ohashi, director of business development for PARC, a Xerox company, bridges the gap between AI’s potential and pitfalls, presenting executives, entrepreneurs, managers, and team leaders with exactly what they need to know to stay on top of how AI affects their fields. He uses real-world examples and cases studies to show what XAI is, how it works, how it’s being used right now, and where it may have the most impact in the future.
Topics include:
- What is XAI?
- XAI benefits and limitations
- Humans vs. computers
- XAI business examples
- Investing in XAI
Table of Contents
Introduction
1 Explainable AI Expanding the frontiers of artificial intelligence
2 Introduction to AI and ML
Explainable AI (XAI)
3 What is XAI
4 XAI techniques
5 The need for XAI Business
6 The need for XAI Legal
7 Limitations of XAI
Humans and Machines Have Different Strengths and Weaknesses
8 Humans are better at some things
9 Computers are better at some things
The Case for Human Machine Collaboration
10 Combining the strengths of humans and machines
11 Example Centaur chess
Examples of Possible XAI Applications
12 Simple example Driving directions
13 Medical example Explainability for surgical health care and medicine
14 Business example 1 Marketing
15 Business example 2 Fraud detection
Next Steps
16 Full adoption will take time
17 Invest in XAI
Conclusion
18 Summary
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