CYS

"I feel invaded, annoyed, anxious"

Research led by Dr Kovila P.L Coopamootoo, Lecturer in Computer Science in the Department of Informatics, in collaboration with colleagues from Newcastle and Durham, has examined how internet users feel about online tracking and how their feelings affect their online behaviour.

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.

Trusted Autonomous Systems Hub

Autonomous systems are technologies, ranging from software algorithms to robots, which can make independent decisions with varying levels of human control and learn and change their behaviour. These systems have the potential to immensely transform both society and industry (e.g., health, transport, communications and manufacturing).

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.