This Centre for Doctoral Training (CDT) has been funded by UKRI to train the next generation of innovators in human-in-the-loop AI systems, enabling them to responsibly solve societally important problems. We are recruiting researchers from 2019-2023, with the last cohort graduating in July 2027. 

Aims and Objectives:

The overarching aim of this CDT in Interactive Artificial Intelligence is to establish an internationally leading Centre that will train the next generations of innovators in responsible, data and knowledge-driven human-in-the-loop AI systems. The CDT will offer an innovative cohort-based training experience that will equip students with the skills to design and implement complex AI pipelines solving societally important problems in responsible ways.

The specific objectives are:

1. to recruit highly motivated postgraduate students from computer science, mathematics, and cognate disciplines, and create an intensive and complementary training experience which comprises a bespoke taught programme in the foundation year, delivered within a distinctive cohort training environment;
2. to set the highest standards of responsible innovation with particular emphasis on AI-specific issues such as transparency, explainability, accountability, fairness, trustworthiness and privacy;
3. to promote a human-in-the-loop (HITL) ethos that emphasises technology design for and with different groups of end users;
4. to be an exemplar for technology-supported cohort-based training, using the latest developments and insights in flipped classroom teaching and teamwork, open software development tools and platforms, and cross-cohort mentoring;
5. to train "AI ambassadors" who, through their deep understanding of the strengths and limitations of artificial intelligence, can contribute to the public debate on AI and its relationship to society;
6. to build long-term relationships between the CDT and its industrial partners, enhancing the cohort provision through industry placements, co-supervised projects and research collaboration;
7. to support the development of entrepreneurial skills and intellectual property;
8. to contribute to the "democratisation of AI" and reduce inequality within the sector by promoting take-up of relevant AI techniques in SMEs;
9. to consolidate and expand existing expertise at Bristol and become a leading international research training centre with research and training relationships with global partners.