AI Ethics and Society MSt

Artificial intelligence (AI) technology is rapidly developing and is increasingly being applied across sectors, posing significant ethical and societal challenges. The MSt in AI Ethics and Society is devoted to developing leaders who can tackle the hard AI questions that are most relevant for the workplace today, such as issues of privacy, surveillance, justice, fairness, algorithmic bias, misinformation, Big Data, responsible innovation, and more. <br/><br/>The MSt in AI Ethics and Society is an academically rigorous part-time programme, rooted in approaches from history, philosophy, governance, and science and technology studies. The programme will provide students with the critical academic skills, knowledge and analytical abilities needed to identify and address ethical challenges as they arise from the application of AI. <br/><br/>The MSt AI Ethics and Society is developed and taught by the University’s Leverhulme Centre for the Future of Intelligence (LCFI), a global research centre at the forefront of AI Ethics and impact research, in partnership with University of Cambridge Professional and Continuing Education. <br/><br/>The programme will ensure that engagement with the ethical and societal challenges of AI is thoroughly informed by the knowledge, theories and methods of relevant established academic disciplines, provide a critical overview of the state of current interdisciplinary research on the challenges of AI, develop the critical research skills and analytical abilities needed to identify and address ethical challenges as they arise in practice from applications of AI, instil thorough knowledge of the role that different governance approaches can play in navigating the challenges of AI, and the ability to critically analyse those approaches<br/>develop experts in the ethical and societal implications of AI with the ability and initiative to identify and address the challenges of AI across sectors and society.<br/><br/>As the programme is run by a specialist research centre, the curriculum is uniquely multidisciplinary, informed by up-to-the-minute research developments, and incorporates experts from diverse areas including philosophy, machine learning, computer science, policy, law, and more.<br/><br/>Teaching is delivered predominantly online with four, week-long, in-person residentials held in Cambridge (September 2026, January 2027, April 2027 and September 2027).<br/><br/>Applications for the 2026-28 cohort close on 26 February 2026 and we are unable to consider or accept any late applications. More information can be found on the course website.