About the MPhil in Ethics of AI, Data and Algorithms (ADA)
The MPhil in Ethics of AI, Data and Algorithms (ADA) is a full-time degree for students seeking to specialise and develop their research skills within AI ethics.
**Applications are open for October 2024 entry**
About the MPhil
The MPhil will equip students from a wide range of academic backgrounds with the critical skills and knowledge to identify and address ethical challenges arising from the application of AI, data and algorithms, and prepare them for interdisciplinary research on these issues. We welcome applications from a wide range of academic backgrounds such as philosophy, sociology, anthropology, gender and race studies, media studies, computer science and engineering.
The taught elements include the core module “Introduction to the Ethics of ADA” and eight elective specialisation modules. These topics vary year by year, reflecting the current research interests of staff, and will give an understanding of theories and methods in academic disciplines from history and philosophy to engineering and computer science. Students should attend the core module plus at least four elective modules.
Late Lent and Easter terms have a twice-weekly works in progress seminar, where students will present and discuss their individual dissertation research. For their supervised research, students work individually with domain experts to produce four pieces of written work: a Critical Analysis Essay of up to 3,000 words, two Research Essays of up to 5,000 words and up to 7,000 words respectively, and a Dissertation of up to 12,000 words.
In addition, students are encouraged to integrate themselves into the research culture of CFI by attending research seminars, reading groups, conferences and other events at the centre, as well as other lectures, seminars and events relevant to their interests within the wider University.
Those intending to go on to doctoral work will learn the research skills necessary to prepare a well-planned and focused Ph.D. proposal.
Key Course Staff
Dr Claire Benn, Course Lead
Lucy Cavan, Postgraduate Co-ordinator
Dr Henry Shevlin, Associate Director of Education
Applications opened at the beginning of September 2023 for the academic year commencing October 2024.
Deadlines to be aware of are:
Gates US funding: 11 October 2023
All other funding: 5 December 2023
Closing date for applications: 26 March 2024
Precise dates and further information will be available on the postgraduate admissions portal.
For any queries regarding this course, please email email@example.com.