Responsible Automated Intelligence (AI) Ethics Fundamentals

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 essential.

In the course, we provide both insights and demonstrations to help you get 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 principles 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 - What's 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, let's get started with the course and learn about AI Ethics!