CYS

Making a Difference: Impact Stories from the Department of Informatics

Academics from the Department of Informatics are conducting world-leading research with measurable impact: 1) an AI planning tool that makes drilling safer, faster, and more environmentally friendly, 2) the development of robotic therapy devices for the treatment of lower limb injuries, 3) pioneering 5G research that impacts global telecommunications industry and 4) research on provenance, a fundamental data governance technique that provides a reliable account of a system's actions and the data it altered.

Explainability By Design

There are increasing calls for explainability of data-intensive applications. Such a demand for explainability stems from various reasons, such as regulations, governance frameworks or business drivers. Explanations are becoming a mechanism to demonstrate good governance of data-processing pipelines.

Overview of UKRI Trustworthy Autonomous Systems TAS Hub

The TAS programme is a major £33M UKRI/SPF investment (Community-led, result of the EPSRC Big Ideas Challenge) that consists of the hub (£11.7M, £4M is to be dedicated to pump-priming projects) will coordinate seven research nodes (£3M each)

PLEAD

PLEAD brings together an interdisciplinary team of technologists, legal experts, commercial companies and public organisations to investigate how provenance can help explain the logic that underlies automated decision-making to the benefit of data subjects as well as help data controllers to demonstrate compliance with the law. Explanations that are provenance-driven and legally-grounded will allow data subjects to place their trust in automated decisions and will allow data controllers to ensure compliance with legal requirements placed on their organisations.

SAIS

SAIS (Secure AI assistantS) is a cross-disciplinary collaboration between the Departments of Informatics, Digital Humanities and The Policy Institute at King's College London, and the Department of Computing at Imperial College London, working with non-academic partners: Microsoft, Humley, Hospify, Mycroft, policy and regulation experts, and the general public, including non-technical users.

Cracking the black box

How KCL researchers build a provenance-based system to make AI explainable