The UKRI Trustworthy Autonomous Systems (TAS) Hub

Investigating the cybersecurity, human factors and trust aspects of screen failures during automated driving using threat analysis.

To replace existing deterministic regulatory verification activities that Data Protection Officers rely on, with automated reasoning techniques.

Building trust and fostering the adoption of autonomous systems (AS) by capturing, documenting and explicating ‘Master Narratives’. The…

Investigating the ethical risks and legal implications related to the collection, access and use of data in autonomous…

Demonstrating wound healing in the laboratory, and defining an envelope of operation that balances risks and benefits of…

Investigating the applicability of machine learning methods to support anticipatory planning for resilience, simulation-based AI techniques for policy…

Using LEGO Serious Play workshops to Identify the conflicts and confluences in the imaginaries of robotic and autonomous…

Developing a novel approach to assurance through participatory methodology, to underwrite the responsible design, development, and deployment of…

Designing algorithms for diabetes management during life transitions using co-design, provenance and explainable AI. This project aims to…

Understanding the effect of Situational Awareness and take-over request procedures on trust between drivers and highly autonomous vehicles.

Identifying how causal explanation can influence trust in an educational robotic platform, the Kaspar robot, which has been…

Creating infrastructure for access via web/VR interfaces and telepresence robots to UK laboratories researching TAS.

The aim of this project is to understand the contextual factors and technical approaches underlying trustworthy human-swarm teams.

These challenges present increased opportunities for human-robot collaborative teams but questions remain relating to trust towards the robot…

This project explores how trustworthy autonomous systems embedded in devices in the home can support decision-making about health…

Behaviour classification NLP in a socio-technical AI setting for online harmful behaviours for children and young people  …

Designing an exemplar, socially responsible, anthropomorphised, natural language interface for automated vehicles.

The role of human risks perception and trust narratives Investigating the mechanisms that can address consumers’ concerns when…