معرفی
Elizabeth Black is a Professor of Artificial Intelligence at King's College London's Department of Informatics, part of the Faculty of Natural, Mathematical & Engineering Sciences. She leads the UKRI Centre for Doctoral Training in Safe and Trusted Artificial Intelligence, collaborating with Imperial College London to develop AI systems with ethical and safety guarantees. She serves on the steering committee of the COMMA conference series and the editorial board of Autonomous Agents and Multi-Agent Systems. Her research focuses on argumentation theory, multi-agent systems, AI ethics, and healthcare informatics.
Education: PhD in Computer Science (2007, UCL), Postdoctoral research at Oxford University and a Marie-Curie Fellowship at Utrecht University.
Research Interests: Elizabeth explores AI's societal impact through argumentation frameworks, ethical AI design, and applications in healthcare. Her work bridges formal logic with practical systems, addressing transparency and fairness in AI decision-making.
Articles: Recent work emphasizes fair machine learning, bias mitigation, and neuroevolution techniques. Her publications span dialogue systems, AI ethics, and multi-agent coordination, reflecting interdisciplinary engagement with computational models of argument and social AI.
Awards: Fellow of the Higher Education Academy (2021).
Grants & Projects: Leads the PHAWM project (EPSRC-funded participatory harm auditing workbenches) and previously worked on commodity market transparency (TSB) and automated argument planning (EPSRC). Supervises PhD students in AI ethics and argumentation systems.
Labs/Teams: Member of the Reasoning and Planning research group, contributing to the UK's Trusted Autonomous Systems Hub. Active in organizing workshops like TAFA and ArgMAS on formal argumentation.
