
News
Read all the latest news, views and updates from the Centre and our partners.
Examining the ethical implications of natural language processing. The Edinburgh Futures Institute’s Centre for Technomoral Futures and the School of Informatics are delighted to invite applications for this funded PhD studentship, to begin in the academic year 2025/2026.
2023-2024 was a year of extraordinary activity for the Centre, with an array of events, seminars, and research that continues to shape the Centre’s mission to unify technical and moral knowledge that directly serves the goals of sustainable, just and ethical innovation.
In this blog post, Professor Burkhard Schafer shares his experiences of a session he recently led with a group of pupils at Balerno High School in Edinburgh to explore the intersection of robotics, AI, and ethics.
Events
Find out more, and stay up to date with our upcoming and past events.
This Technomoral Conversation will look at issues ranging from the AI industry’s copyright violations, to the responses from creatives in the UK and elsewhere, to the wider ethical and political questions about the role of AI in creative practice and culture.
Courses and Programmes
Learn about courses and programmes the Centre delivers and contributes to.
Co-developed by Professors Shannon Vallor, Atoosa Kasirzadeh, John Zerilli and James Garforth, our MSc in Data and AI Ethics programme meets the urgent demand for interdisciplinary skills and knowledge in the ethical design, use and governance of artificial intelligence and other data-intensive technologies.
Join the Data Ethics, AI and Responsible Innovation MOOC (massive open online course) as we explore predictive policing, medical robots, smart homes and artificial intelligence. Free of charge, delivered by experts from Edinburgh Uni!
At the University of Edinburgh, Centre-affiliated faculty deliver innovative courses that introduce students to the ethics of data and AI, at both undergraduate and postgraduate levels.