Syllabus

• Week 1

  AI & Ethics Introduction

  • Course Introduction

    Meet our team, find out what makes us tick and why we're animated by AI ethics and inclusion. Understand why we believe student co-creation sets this course apart and discover how to optimise your learning during this MOOC.

  • Introduction to AI

    In this section, we will define AI, explore a little historical context, and move towards understanding large language models and some of their behaviours we should be cautious of.

  • Introduction to Ethics

    Gain insight into prominent ethical theories, how and why they have emerged in society. Take ideas from these theories forward in learning and apply ethical perspectives to AI.

  • AI and the Student Experience

    Consider ways in which AI is a crucial part of the current student experience. Deepen understanding of ethical learning, digital literacy, risks, bias, opportunities, and positive AI for learners.

  • Week 1 Conclusion

    Here you'll find a brief video summarising the topics explored and the learning gained this week, followed by a glance at what awaits in Week 2.

• Week 2

  Existential & Governance

  • Week 2 Introduction

    This short video is an introduction to the topics explored in Week 2, The Existential & Governance. It is aimed at helping you plan and navigate your learning journey.

  • AI and Existential Risk

    This week begins by exploring "existential risk", defining and understanding "X-risks", "longtermism", "effective altruism" and the "doomsday narrative".

  • AI and Media Narratives

    Media narratives are rarely completely impartial, and can easily fall into polarised debate and siloed echo chambers, depending on narrator motivation. It is important to ask ourselves: who is telling this story and why?

  • Towards Better AI Narratives

    Can we propose and enact solutions to the polarised narrative problem and begin to adopt more critically objective views of AI and emerging technologies, that favour ethics, citizenship, and equity?

  • AI Governance: who decides?

    This module aims to explore the biases that may arise when training AI, as well as the biases that can be perpetuated when humans use AI. You will be encouraged to form your own opinions and critically analyse potential risks.

  • Governance at a Glance

    This section gives a brief overview of the biggest legislation in the US and EU, attempts to govern AI. We are asked to consider if holistic and effective AI governance is realistic in today's political climate.

  • Looking to the Future

    This section encourages learners to develop our own opinions around AI and data governance and to foster a more critical outlook, to promote an informed and conscious use of AI tools.

  • Week 2 Conclusion

    This short video summarises the topics we have explored this week, AI the existential and data governance. It also provides a glimpse of what we will learn in Week 3.

• Week 3

  Environment & Healthcare

  • Week 3 Introduction

    This short video will introduce the topics that we will explore in Week 3: Environment and Healthcare.

  • AI and the Environment

    How can we apply ethics to consider the environmental impacts of AI and the potential planetary benefits of these technologies?

  • AI and Healthcare

    Here we will look at the applications of AI in healthcare. We will consider this from the the global perspective, the granular University of Glasgow level, and everything in between.

  • Week 3 Conclusion

    This short video is a summary of the topics explored this week, and of the course overall. We hope you felt welcome on this course, engaged with its content, and empowered to navigate the AI ethics landscape responsibly.

  • Check Your Learning

    Congratulations! You made it to the end of the course. Now is a great time to check your learning and gain feedback on your understanding. In this section you will find a quiz designed to explore content and reinforce learning.

Who will you learn with?