AI Design & Methods
AI Design & Methods
The AI Design & Methods theme lies at the intersection of technical and human aspects of AI systems. It includes the development of novel methods as well as their evaluation and design for reliable and intuitive use by humans. This theme involves strong interdisciplinary expertise, covering several major areas: AI Methods (incl. machine learning, active learning, neuro-symbolic, natural language processing); Software Engineering (incl. decision-making under uncertainty, model-driven engineering, requirements engineering, testing and verification); Human-Computer Interaction (incl. human-centred design, multisensory emotion detection, conversational user interface, user modelling)
Research Highlights
ALTS: AI-enabled Legal Technologies and their Consequences on Society
PI Nelly Bencomo
The ALTS project aims to bring together experts in Law, AI-enabled legal technologies, Computer Science, Design Thinking and others to create an interdisciplinary collaboration to provide a platform for exploring and testing a range of approaches for assessing the impact of AI in the law. The project seeks to enable conversations about delivering human-centred techniques and tools to help stakeholders explore the horizons of possibilities and define an envelope of acceptability for AI-based software responsibility focusing on legal aspects. A series of activities are planned to include two IAS seminars, creating a consortium for an ambitious interdisciplinary project, and designing an inter-department teaching module on AI-enabled legal technologies.
The project is partially supported by the Institute of Advance Studies and the EPSRC project Twenty2020Insight