Course curriculum

  • 1

    Introduction

    • Overview and learning outcomes
  • 2

    Understanding the field of AI Ethics

    • Defining Ethics in AI

    • AI Ethics and Responsible AI

    • Understanding Ethical Values in AI

    • Existential Questions and Practical Ethics
  • 3

    How Ethics will Change the Future of Technology

    • The Impact of Ethics on Technology's Future

    • The Business Impact of Responsible AI

    • Leadership in Responsible AI Development

    • The Pursuit of Good Tech: the motivation Behind AI Ethics
  • 4

    Mitigating ethical risk in AI Chapter

    • Ethics as a Dual-Sided Tool for Innovation: Risk Reduction

    • Starting to use Ethics for Risk Reduction

    • Ethics Beyond Compliance in AI
  • 5

    Ethics as a tool for Disruptive Innovation

    • Leveraging Ethics for Innovation in AI

    • Implementing Ethics by Design: a Tech-Forward Approach

    • UX-Based Approach to Ethics by Design
  • 6

    Moving ethical principles to practice

    • Fairness in AI

    • Privacy and Security in AI

    • Accountability and Responsibility in AI

    • Transparency and Explainability in AI
  • 7

    How to design an AI Ethics strategy

    • Operationalizing Ethics in Organizations

    • People Layer in AI

    • Process Layer in AI

    • Technology Layer in AI
  • 8

    Case Study: Ethics of Generative AI

    • GenAi in Practise Case

    • Using Ethics as that Decision Analisys Tool

    • Operationalizing Ethical Values in Practise
  • 9

    How to have a career in Responsible AI

    • An AI Ethicist

    • AI Careers Path

    • Explore and Further Develop and Hone your Skills