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

  • 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

  • 2m 30s
  • 4m 47s
    Learn how to recognize what Explainable AI is and why it is important. FREE ACCESS
  • Locked
    3.  The Interpretability Problem
    11m 4s
    In this video, you will learn how to define the Interpretability Problem and why it is important. FREE ACCESS
  • Locked
    4.  Right to Explanation
    2m 38s
    Find out how to define 'right to explanation' regulations and identify real-world use cases. FREE ACCESS
  • Locked
    5.  Counterfactual Method
    3m 42s
    In this video, you will learn how to identify the meaning and application of the counterfactual method. FREE ACCESS
  • Locked
    6.  Axiomatic Attribution
    1m 58s
    During this video, you will learn how to identify the meaning and apply axiomatic attribution. FREE ACCESS
  • Locked
    7.  Intelligible Models
    3m 24s
    In this video, you will learn how to define the meaning and recognize the purpose of intelligible models. FREE ACCESS
  • Locked
    8.  Monotonicity
    4m 54s
    In this video, you will define the meaning of monotonicity and recognize its real-world use. FREE ACCESS
  • Locked
    9.  Rationalization
    2m 2s
    In this video, find out how to describe the meaning and application of rationalization. FREE ACCESS
  • Locked
    10.  Feature Visualization
    2m 44s
    In this video, you will learn how to describe the meaning and use of feature visualization. FREE ACCESS
  • Locked
    11.  Course Summary
    2m 14s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.

Digital badges are yours to keep, forever.

YOU MIGHT ALSO LIKE

Course AI Enterprise Planning
Course Implementing AI Using Cognitive Modeling
Book Artificial Intelligence :Ethical, Social and Security Impacts for the Present and the Future

PEOPLE WHO VIEWED THIS ALSO VIEWED THESE

Course Artificial Intelligence: Types of Artificial Intelligence
Course Artificial Intelligence: Human-computer Interaction Methodologies
Course Azure Data Scientist Associate: Machine Learning