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
Michael Akintunde, Vahid Yazdanpanah, Asieh Salehi Fathabadi, Corina Cirstea, Mehdi Dastani & Luc Moreau,
2024
Type: conference
Alexandry Augustin, Elnaz Shafipour & Sebastian Stein,
2024
Type: conference
Yi Cheng Ong, Nicos Protopapas, Vahid Yazdanpanah, Enrico H. Gerding & Sebastian Stein,
2024, Journal of Simulation
Type: article
Rory Coulson, Elnaz Shafipour, Sebastian Stein, Jan Buermann, Suleiman Sharkh & Andrew Cruden,
2024
Type: conference
Sarah Kiden, Bernd Stahl, Beverley Townsend, Carsten Maple, Charles Vincent, Fraser Sampson, Geoff Gilbert, Helen Smith, Jayati Deshmukh, Jen Ross, Jennifer Williams, Jesus Martinez del Rincon, Justyna Lisinska, Karen O’Shea, Márjory Da Costa Abreu, Nelly Bencomo, Oishi Deb, Peter Winter, Phoebe Li, Philip Torr, Pin Lean Lau, Raquel Iniesta, Gopal Ramchurn, Sebastian Stein & Vahid Yazdanpanah,
2024
DOI: 10.5258/SOTON/PP0057
Type: report