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
Behrad Koohy, Vahid Yazdanpanah, Sebastian Stein & Enrico Gerding,
2025
Type: conference
Sebastian Stein, Sarah Kiden, Vahid Yazdanpanah, Zhaoxing Li, Adrian Low, Andrew Efe John Poile, Behrad Koohy, Beining Zhang, Bruno Arcanjo, Connor Watson, Eike Schneiders, Eu Jin Lim, Ezhilarasi Periyathambi, Fariba Dehghan, Jan Buermann, Jayati Deshmukh, Jim Dilkes, Luke Oliver Nicholas, Prokopis Georgiou, Richard Gomer & Wen Gu,
2025
Type: conference
Tesfay Zemuy Gebrekidan, Sebastian Stein & Tim Norman,
2025, ACM Transactions on Autonomous and Adaptive Systems
DOI: 10.1145/3768579
Type: article
Zhaoxing Li, Vahid Yazdanpanah, Jindi Wang, Wen Gu, Lei Shi, Alexandra I. Cristea, Sarah Kiden & Sebastian Stein,
2025
Type: conference
Wen Gu, Zhaoxing Li, Jan Buermann, Jim Dilkes, Dimitris Michailidis, Shinobu Hasegawa, Vahid Yazdanpanah & Sebastian Stein,
2025
Type: conference
Jim Dilkes, Vahid Yazdanpanah & Sebastian Stein,
2025
Type: other
Jim Dilkes, Vahid Yazdanpanah & Sebastian Stein,
2025
Type: conference