Explainable AI
Artificial Intelligence
| Intermediate
- 11 videos | 41m 57s
- Includes Assessment
- Earns a Badge
The inner workings of many deep learning systems are complicated, if not impossible, for the human mind to comprehend. Explainable Artificial Intelligence (XAI) aims to provide AI experts with transparency into these systems. In this course, you'll describe what Explainable AI is, how to use it, and the data structures behind XAI's preferred algorithms. Next, you'll explore the interpretability problem and today's state-of-the-art solutions to it. You'll identify XAI regulations, define the "right to explanation", and illustrate real-world examples where this has been applicable. You'll move on to recognize both the Counterfactual and Axiomatic methods, distinguishing their pros and cons. You'll investigate the intelligible models method, along with the concepts of monotonicity and rationalization. Finally, you'll learn how to use a Generative Adversarial Network.
WHAT YOU WILL LEARN
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discover the key concepts covered in this course
recognize what Explainable AI is and its significance
define the Interpretability Problem and its importance
define 'right to explanation' regulations and identify real-world use cases
identify the meaning and application of the counterfactual method
identify the meaning and application of axiomatic attribution -
define the meaning and recognize the purpose of intelligible models
define the meaning and recognize the real-world use of monotonicity
describe the meaning and application of rationalization
describe the meaning and application of feature visualization
summarize the key concepts covered in this course
IN THIS COURSE
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2m 30s
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4m 47sLearn how to recognize what Explainable AI is and why it is important. FREE ACCESS
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3. The Interpretability Problem11m 4sIn this video, you will learn how to define the Interpretability Problem and why it is important. FREE ACCESS
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4. Right to Explanation2m 38sFind out how to define 'right to explanation' regulations and identify real-world use cases. FREE ACCESS
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5. Counterfactual Method3m 42sIn this video, you will learn how to identify the meaning and application of the counterfactual method. FREE ACCESS
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6. Axiomatic Attribution1m 58sDuring this video, you will learn how to identify the meaning and apply axiomatic attribution. FREE ACCESS
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7. Intelligible Models3m 24sIn this video, you will learn how to define the meaning and recognize the purpose of intelligible models. FREE ACCESS
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8. Monotonicity4m 54sIn this video, you will define the meaning of monotonicity and recognize its real-world use. FREE ACCESS
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9. Rationalization2m 2sIn this video, find out how to describe the meaning and application of rationalization. FREE ACCESS
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10. Feature Visualization2m 44sIn this video, you will learn how to describe the meaning and use of feature visualization. FREE ACCESS
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11. Course Summary2m 14sIn this video, we will summarize the key concepts covered in this course. FREE ACCESS
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