Project overview
In this project, we are developing the fundamental science needed to build trusted (and trustworthy) citizen-centric AI systems. These AI systems will put citizens at their heart, rather than view them as passive providers of data. They will make decisions that maximise the benefit for citizens, given their individual constraints and preferences. They will use incentives where appropriate to encourage positive behaviour change, but they will also be robust to strategic manipulation, in order to prevent individuals from exploiting the system at the expense of others. Importantly, citizen-centric AI systems will involve citizens and other stakeholders in a feedback loop that enables them to audit decisions and modify the system's behaviour to ensure that effective but also ethical decisions are taken.
Staff
Lead researchers
Collaborating research institutes, centres and groups
Research outputs
Elnaz Shafipour, Sebastian Stein & Selin Ahipasaoglu,
2024, Autonomous Agents and Multi-Agent Systems, 38(45)
Type: article
Sara Mehryar, Vahid Yazdanpanah & Jeffrey Tong,
2024, iScience, 27(6)
Type: review
Michael Akintunde, Vahid Yazdanpanah, Asieh Fathabadi, Corina Cirstea, Mehdi Dastani & Luc Moreau,
2024
Type: conference
Gisela Reyes-Cruz, Peter Craigon, Anna-Maria Piskopani, Liz Dowthwaite, Yang Lu, Justyna Lisinska, Elnaz Shafipour, Sebastian Stein & Joel Fischer,
2024
Type: conference
Sarah Kiden, Vahid Yazdanpanah & Sebastian Stein,
2024
Type: other