MA AI, Ethics and Society

Course Overview

Our new MA AI, Ethics and Society gives you the opportunity to explore a broad range of critical topics essential for understanding the complex interplay between artificial intelligence and society.

Why choose this course?

• There is a growing demand for professionals capable both of navigating the ethical landscapes that these advancing technologies create and able to address the challenges they pose to contemporary businesses and society.
• This course merges technical knowledge with philosophical and ethical insight, to prepare you to contribute positively to a world increasingly shaped by AI.
• By integrating interdisciplinary methodologies from philosophy, law, social sciences and humanities, you will learn to navigate the ethical, societal and creative implications of AI.

What you will learn

This course is designed to equip you with a deep understanding of the intricate relationship between artificial intelligence technologies and societal values. The curriculum is crafted to address the decision-making processes of AI, emphasising fairness, biases, security risks and privacy concerns. It investigates how these technological advancements influence politics, personal relationships and societal structures across various domains.

You will begin with core modules, in which you will:

• gain an understanding of the history and development of AI
• think about AI through an ethical lens to critically evaluate how and when to use AI and the associated pressures of doing so.

Option modules give you the chance to explore the regulatory and theoretical challenges that new algorithmic technologies pose to the law. You can consider the concepts behind artificial general intelligence and gain hands-on experience with media production to examine issues like the risks of deepfakes, bias and effects on labour.

At least a second-class honours degree (2:2), or equivalent, in any area of study. We welcome applicants without traditional entry qualifications as we base decisions on our own assessment of qualifications, knowledge and previous work experience. We may waive formal entry requirements based on judgement of academic potential.