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Responsible AI

Responsible AI: Principles and Practices

An introduction to responsible AI principles and practices, with an accompanying course e-book.

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Course topics

Responsible AI

  • Ethics and frameworks
  • Transparency
  • Bias and fairness

You apply your judgement

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Is this a useful starting point?

For business owners, leaders and other learners exploring responsible AI; no previous AI experience is required.

Starting point
Beginner
Course length
2.5 total hours
Lessons
28 lectures

Includes a responsible-AI e-book.

Course by Stuart Wesselby

Course last updated: 06/2025

Requirements
  • No previous experience of ai or the ethical implications of ai is required
What is included
  • Role Play
  • 2.5 hours on-demand video
  • 4 articles
  • 16 downloadable resources
  • Access on mobile
  • Certificate of completion

DoJo membership: A$250 per month per seat, excluding GST. Includes fortnightly group support and a private member community.

Explore the lessons

Course curriculum.

2 sections • 28 lectures • 2h 28m total length

Introduction27 lectures • 2hr 29min
  1. Introduction to Responsible AI04:07
  2. What Is Responsible AI02:33
  3. Defining Responsible AI07:41
  4. Importance of ethics in AI06:31
  5. Explaining the Importance of Ethics in AI to Company Leadership
  6. Ethical Theories and Frameworks in AI05:16
  7. Ethical Theories and Frameworks in AI 3 questions
  8. Overview of ethical theories04:49
  9. Ethical frameworks for AI09:59
  10. Recommending Ethical Frameworks for AI Governance
  11. Transparency and Accountability in AI04:19
  12. Transparency & Accountability In AI 3 questions
  13. Importance of transparency in AI systems06:31
  14. Techniques for achieving accountability in AI06:45
  15. Understanding bias in AI04:51
  16. Understanding Bias In AI 3 questions
  17. Methods for ensuring fairness05:57
  18. Microsoft Ethics Checklist02:16
  19. AI and data privacy concerns11:23
  20. Securing The Future in AI systems03:53
  21. Security Risks of AI Systems 3 questions
  22. Common AI Vulnerabilities in Business Systems04:23
  23. Strategies for Mitigating AI Security Risks08:03
  24. AI and Regulation04:08
  25. Overview of existing AI regulations07:37
  26. Designing Ethical AI Systems06:43
  27. Designing Ethical AI Systems: Best Practices and Action Steps
  28. Tools and frameworks for ethical AI development05:32
  29. Implementing Responsible AI in Organizations04:34
  30. Role of ethics committees and review boards05:38
  31. Governance Structures for Responsible AI00:41
  32. Building Governance Structures for Responsible AI
  33. Developing organizational policies for Responsible AI04:25
  34. Responsible AI Best Practices06:06
  35. Advising Leadership on Responsible AI Best Practices
  36. The Future of AI and Ethics04:05
Responsible AI E Book1 lecture • 1min
  1. Responsible AI E Book00:02

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