Rate My Professor Elizabeth Black

Black's research focuses on safe and trusted artificial intelligence, intelligent agents and multi-agent systems, argumentation-theoretic models of agent reasoning, communication, and dialogue, as well as strategic aspects of argumentation-based dialogues and applications of AI in healthcare informatics. She is a member of the Reasoning and Planning research group in the Department of Informatics and has contributed to funded projects including 'Planning an Argument' (EPSRC, 2015-2016), 'Commodity Market Transparency Through Data Exploration' (TSB, 2014-2015), and 'PHAWM: Participatory Harm Auditing Workbenches and Methodologies' (EPSRC, 2024-2028). Her influential publications include 'An inquiry dialogue system' (2009, Autonomous Agents and Multi-Agent Systems), 'Opponent Modelling in Persuasion Dialogues' (2013, IJCAI), 'Automated planning of simple persuasion dialogues' (2014), 'A Relevance-theoretic Framework for Constructing and Deconstructing Enthymemes' (2012), and 'TSM-Bench: Detecting LLM-Generated Text in Real-World Wikipedia Editing Practices' (2024). Black is a Fellow of the Higher Education Academy, serves on the steering committee of the COMMA international conference series on Computational Models of Argument, and is an Editorial Board Member of the journal Autonomous Agents and Multi-Agent Systems. She has featured in public discussions on trustworthy AI, such as 'Reimagining AI Futures' in 2023.