UKRI Trustworthy Autonomous Systems Hub
The UKRI TAS Hub assembles a team from the Universities of Southampton, Nottingham and King’s College London. The Hub sits at the centre of the £33M Trustworthy Autonomous Systems Programme, funded by the UKRI Strategic Priorities Fund.
Role: Researcher
Funder: UK Research and Innovation (UKRI)
UKRI Responsible Artificial Intelligence UK
RAI UK brings together researchers from across the four nations of the UK to understand how we should shape the development of AI to benefit people, communities and society. We will conduct and fund research into responsible AI, with the first calls for projects to be announced in 2023. We are developing a skills programme for those who build, buy and use AI. And we work with policymakers to explain the opportunities and risks associated with AI.
Role: Researcher
Funder: UK Research and Innovation (UKRI)
Cat Royale - an exploration at the intersection of Art and Human/Animal-Robot Interaction
The artist-led project Cat Royale aims at highlighting how an autonomous system - with humans in the loop - is built and which trade offs are involved. Furthermore, we want to understand how these technologies are going to impact on animal welfare, human welfare, and how these systems can be designed and affect trust in automative systems.
Role: Researcher
Funder: The Trustworthy Autonomous Systems Hub
Responsible Employment of Generative AI for Legal Services
The Regals project aims to investigate the acceptance and reliability of LLM-use in low-stake legal contexts. We run a set of studies in order to evaluate the trust and reliance by laypeople and legal experts on the legal advice produced by that LLM
Role: Principal Investigator
Funder: The Trustworthy Autonomous Systems Hub
TAME Pain: Trustworthy AssessMEnt of Pain - Listening between the Lines
The TAME Pain project aims at developing a novel and transformative proof-of-concept autonomous system that harnesses acoustic biomarkers of pain, which will guide healthcare professionals to tailor and optimise analgesia for patients.
Role: Co-Principal Investigator
Funder: The Trustworthy Autonomous Systems Hub
FAILSAFE: A Socio- Technological Analysis of Human-Robot Interaction Failures for Domestic Robots
The Horizon Digital Economy Research funded FAILSAFE project aims to develop an understanding of robotic failures and explore how people perceive and resolve robot failures as an effort to design human-robot interactions that can enhance consumer experience of future robotic systems.
Role: Co-Investigator
Funder: Horizon Digital Economy Research
DISCERN-AI: Developing an Intervention to Support Critical Evaluation of Real and Non-Authentic Images
Artificial intelligence (AI) systems can now produce images of faces that are so realistic that humans cannot distinguish them from real human faces. The DISCERN-AI project will develop an innovative intervention that supports people to accurately discriminate between real and AI-generated images of faces.
Role: Co-Principal Investigator
Funder: The Web Science Institute (WSI), University of Southampton
ARTificial Intelligence: Show Me a Story about AI
Mainstream narratives on AI tend to the extreme, focusing on either doomerism or utopianism. This project seeks to understand and explore the discourse on AI in creative communities, encouraging authentic aesthetic experiences and knowledge production in the visual arts. By gathering and analysing AI stories from various creative communities, we examine the values impacted by, and shaping responses to, (generative) AI. The research will culminate in the creation of artistic pieces to engage the general public in diverse reflections on AI and its impact.
Role: Co-Investigator
Funder: Responsible AI United Kingdom (RAi-UK)