Bio
Elizabeth Black is Reader in Artificial Intelligence at King's College London and Director of the UKRI Centre for Doctoral Training in Safe and Trusted Artificial Intelligence. She is interested in how groups of agents - particularly where these involve both human and AI agents - can resolve conflicts, make joint decisions, influence one another and reach agreements. Elizabeth is renowned for her work on computational argumentation and formal argument dialogue systems, through which agents can communicate and jointly reason by exchanging arguments and counterarguments, and is passionate about the ethical and responsible use of AI.
Elizabeth has significant experience in issues relating to equality, diversity and inclusion in higher education, having previously led work in this area for both the Faculty of Natural, Mathematical & Engineering Sciences and the Department of Informatics at King's. She has led several initiatives aimed at fostering an inclusive and supportive environment - including targeted training for staff and students, facilitated conversations around difficult sensitive topics, mentoring, and monitoring - and she has developed recruitment processes to encourage diverse applicants and reduce the impact of bias.
As Director of the Centre for Doctoral Training in Safe and Trusted AI, Elizabeth has developed an interdisciplinary PhD training programme that aims to develop well-rounded researchers with both the technical and non-technical skills and experience needed to ensure responsible AI. She believes we need to develop experts who have a holistic understanding both of the technical challenges around developing safe, trustworthy and responsible AI and of the human dimensions and societal implications of AI, and who have the cross-disciplinary capabilities to ensure AI impacts are positive, sustainable and empowering.