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University of Leeds · Part-time

AI Ethics and Society

Gain a rare set of skills to address the big challenges in the responsible and ethical use of AI. This course breaks new ground in training the experts of the future. AI is transforming the world around us. From how doctors make decisions, to how housing is al…

MSc2 yearsPart-time

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School of Sociology and Social Policy · Computing

Gain a rare set of skills to address the big challenges in the responsible and ethical use of AI. This course breaks new ground in training the experts of the future. AI is transforming the world around us. From how doctors make decisions, to how housing is allocated or how police and governments act; the impact of artificial intelligence is no longer science fiction. It’s becoming integral in our everyday lives. But how can we make sure AI serves humanity without destabilising our society as we know it? This Masters degree will provide you with trailblazing tools in ethical AI to become a holistic and strategic expert on AI’s role in society. The course is ideal for those with a non-technical background, whilst also offering a rare combination of complementary skills for those with technical experience. Developed and taught by Leeds Institute for Societal Futures, you'll focus on real-world scenarios, working collaboratively across disciplines and sectors to find ethical and responsible solutions to the challenges of AI. You’ll engage with the big questions around the hopes and harms of AI in society, such as: Who controls the future of AI? - How can AI be deployed to narrow gaps between the rich and poor? - What is the role of AI in the ‘fake news’ culture of misinformation and disinformation? - How important is it to build public trust in AI? - How are industry and policy reacting to the implementation of AI? - How will we shape the rules and governance of AI? Once you graduate, you'll be equipped with a rare set of interdisciplinary skills that meet the rising demand for professionals who can manage responsible and trustworthy use of AI. This highly sought-after skillset will appeal to a diverse range of employers across all, sectors and prepare you for emerging career opportunities as AI becomes more integrated into our daily lives. Course highlights This course has been designed and is delivered by academic experts from Leeds Institute for Societal Futures in partnership with industry, NGOs and policy makers, exposing you to a wide range of perspectives that reflect the latest sectoral expertise and needs. Learn differently on a multi-disciplinary, challenge-based course; work with your fellow students to explore multiple disciplines and perspectives to find solutions to the biggest real-world challenges in AI, preparing you for the future world of work. Gain industry exposure and global insights through practical case studies, project work and assessments based on real-world scenarios, and teaching by industry experts in guest lectures. Build a rare combination of knowledge, skills and experience in the fast-growing area of ethical and responsible AI, and be qualified for careers in AI implementation, ethical usage, policy and governance. The interdisciplinary nature of the course means you’ll also develop a range of professional skills that could transfer into many different job roles.

Getting in

As the university states it

A 2.1 (honours) bachelor degree, in a social science or humanities or STEM subject. OR 2. An honours bachelor degree, in a social science or humanities or STEM subject, with at least two years relevant professional experience – from the below list (further relevant experience can be articulated in application): · AI Ethics / Responsible Innovation Advisor · Policy Analyst (Tech/Ethics) · Government/ Public-sector Expert for Ethical Deployment of AI Systems · Communications or Public Engagement Specialist (AI and Society) · Tech Sector Consultant (Ethics and Governance) · Creative Industries Ethics Consultant · Researcher in AI and Society (Academic, Industry, Public Sector) · Advisor on AI in Education, Health, Mental Health, Government/ governance · Non-profit/ NGO AI Ethics Advisor/ Campaigner · Technical roles involving building, training & deploying AI (e.g. Data Scientist, AI Software Developer, AI Infrastructure Engineer, Machine Learning Researcher, Natural Language Processing Engineer) · Sustained experience within student AI societies and/ or experience of journalism/ public writing within AI topics.

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Course details as published by the university. No graduate-outcome statistics are published for UK postgraduate courses, so none are shown.