Equality, Diversity and Inclusion

CDT EDI Ethos

The Interactive CDT has EDI at its heart, believing that a diverse cohort brings a diversity of perspectives and ideas, and that advertising to and recruiting from the widest possible talent pool ensured excellence. A summary of our strategy is below.

University of Bristol EDI Policies
This CDT is proud to be part of the University of Bristol and seeks to maintain the standards and policies of both the University and the School.

CDT EDI Strategy:

The foundation year content of the CDT included material on equality, diversity and inclusion in the design and use of AI: for example, potential issues with demographic bias in AI algorithms, and mitigations. By teaching this content we aim to enable CDT students to be ambassadors for good ED&I practices within the discipline of AI in their future careers. We will also use some of the project-based teaching in Applied Data Science and the group project to have students develop AI tools for exploring and exposing manifestations of algorithmic bias, discriminatory practices embedded in datasets, etc. In the context of an AI CDT we view this as a particularly suitable route to promote ED&I awareness both among the students and among users of the tools.

Another diversity issue (in the widest sense) for AI is the current concentration of cutting-edge AI capabilities in a small number of technology companies. The CDT aims to encourage ‘democratisation’ of AI technology which is clearly reflected in its comprehensive range of industry partners, from large multinationals to local SMEs. By training a diverse cohort of PhD students in this technology, some of whom will join smaller companies and start-ups, we aim to reduce the inequality between different companies within the sector, enabling greater inclusion and more creative diversity of technical approaches, thoughts, and experiences in AI.