Description

Learn about the importance of Ethics in AI and the role of Responsible AI in your organization.

(Beginner) This course has been designed for business professionals needing a well-rounded introduction to Ethics for Automated Intelligence (AI) and why Responsible AI is important.

In the course we provide both insight and demonstrations to get you started on your roadmap for ensuring Ethics in your AI projects.

AI Ethics is a system of moral principles and techniques intended to guide the development and responsible use of Artificial Intelligence (AI) technology.

Responsible AI is a set of documentation used in an organization to ensure that AI is used in a “responsible” framework with pre-defined principles, ethics, and rules to govern AI.


This course will guide you through the importance of Automated Intelligence(AI) Ethics with a focus on Responsible AI principals and implementation.

Expected Learning Outcomes

  • At the end of the course, the learners will be able to be acquainted with the following.
  • Understanding Ethics and Its Importance in AI
  • Ethical Frameworks and Principles in AI
  • Ethical Challenges in AI Development
  • Bias and Fairness in AI
  • Transparency in AI
  • Accountability and Governance in AI
  • Privacy Issues in AI: Data Collection and Usage
  • Securing AI Systems: Risks and Mitigation Strategies
  • Ethical Data Management in AI
  • AI and the Workforce: Automation and Job Displacement
  • Ethical AI Leadership and Organizational Culture
  • AI and Social Good: Leveraging AI for Positive Impact
  • Ethical AI Policy
  • Advocating for Ethical AI Policy and Regulation
  • Ethical Considerations in AI Research and Development
  • Ethical AI Policy and Future Directions
  • Welcome to the Course
    Course Lessons
    Course Welcome
    Instructor Introduction
    Download Course Resources
  • Module 1 – Introduction to AI Ethics
    Understanding AI Ethics
    Ethical Frameworks and Principles in AI
    Ethical Challenges
    Whiteboard – Key Principles of Responsible AI
    Module 2 – Responsible AI Development
    Responsible AI Development
    Bias and Fairness in AI
    Transparency in AI
    Demonstration – Microsoft Responsible AI
    Accountability and Governance in AI
  • Module 3 – Privacy and Security in AI
    Data Collection and Usage
    Risks and Mitigation Strategies
    Ethical Data Management in AI
    Demonstration – Examples of Privacy EUL
  • Module 4 – Social and Ethical Impacts of AI
    Automation and Job Displacement
    AI and Social Good
    Demonstration – ChatGPT
    Demonstration – Bard
  • Module 5 – Policy Development
    Ethical AI Leadership Culture
    Ethical AI Policy Elements
    Ethical AI in a Changing Landscape
    Course Review
    Course Closeout

Course Contents – Whats included with the course?

  1. Course Presentation (pdf)
  2. Companion Ebook and Study Guide (pdf)
  3. Course Resource List (pdf)
  4. Certification of Completion

AI has the potential to do a lot of good in the world, but it can also be misused. Understanding AI ethics can help you to identify and mitigate potential risks. 

So lets get started with course and learn about AI Ethics!