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Responsible AI: Principles and Practical Applications

Responsible AI: Principles and Practical Applications

1h 6mBeginner2022-11-01

Authors

Jill Finlayson

Jill Finlayson

Advocate for Women in Tech, Impact-Focused Innovation, and Equitable Workplaces

Brandie Nonnecke

Brandie Nonnecke

Founding Director, CITRIS Policy Lab, UC Berkeley

Tsu-Jae Liu

Tsu-Jae Liu

Dean and Roy W. Carlson Professor of Engineering

Course details

Artificial intelligence (AI) is becoming an integral component of business practices across all sectors. As businesses turn to automation to improve efficiency and effectiveness, they must be careful to mitigate the risks of AI while maximizing its benefits. In this course, instructors Tsu-Jae Liu, Brandie Nonnecke, and Jill Finlayson clearly explain the need for responsible AI, with examples of practical applications. Learn about artificial intelligence (AI), its components, how it is being used, and why it is becoming a pervasive part of reality. Dive into several benefits and risks of AI, with practical examples of each. Explore several areas where AI is being used, such as HR and hiring, social media, healthcare, and climate. Plus, find out about trustworthy AI development and deployment, with responsible AI principles and practices, risk and impact assessment models, and clear guidance on how you can be an effective, responsible AI leader.

Skills covered

Responsible AIOperations ManagementArtificial Intelligence FoundationsProject ManagementArtificial Intelligence (AI)Business Analysis and StrategyDeep Dive (X:Y)

Concepts

0. Introduction

  • 01 - Overview of responsbile AI

1. What Is AI and How Is It Used

  • 02 - Introduction to artificial intelligence (AI)
  • 03 - AI myths and misunderstandings

2. AI Benefits and Risks

  • 04 - Benefits of AI
  • 05 - Risks of AI

3. AI Application Domains

  • 06 - Introduction to AI experts
  • 07 - AI in HR and hiring
  • 08 - AI in social media
  • 09 - AI in healthcare
  • 10 - AI in climate

4. Developing Responsible AI

  • 11 - Responsible and trustworthy AI
  • 12 - Responsible AI principles and practices
  • 13 - Risk and impact assessment models
  • 14 - Agency and action - Your role in AI

Conclusion

  • 15 - Next steps and resources

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