12 citations · 15 across the 3 of their papers we have counts for
5 papers · 1 filter
AI for bureaucratic productivity: Measuring the potential of AI to help automate 143 million UK government transactions
Vincent J. Straub, Youmna Hashem, Jonathan Bright +5
There is currently considerable excitement within government about the potential of artificial intelligence to improve public service productivity through the automation of complex…
Generative AI is already widespread in the public sector
Jonathan Bright, Florence E. Enock, Saba Esnaashari +3
Generative AI has the potential to transform how public services are delivered by enhancing productivity and reducing time spent on bureaucracy. Furthermore, unlike other types of…
Approaches to the Algorithmic Allocation of Public Resources: A Cross-disciplinary Review
Saba Esnaashari, Jonathan Bright, John Francis +3
Allocation of scarce resources is a recurring challenge for the public sector: something that emerges in areas as diverse as healthcare, disaster recovery, and social welfare. The…
'Team-in-the-loop': Ostrom's IAD framework 'rules in use' to map and measure contextual impacts of AI
Deborah Morgan, Youmna Hashem, John Francis +3
This article explores how the 'rules in use' from Ostrom's Institutional Analysis and Development Framework (IAD) can be developed as a context analysis approach for AI. AI risk as…
A multidomain relational framework to guide institutional AI research and adoption
Vincent J. Straub, Deborah Morgan, Youmna Hashem +3
Calls for new metrics, technical standards and governance mechanisms to guide the adoption of Artificial Intelligence (AI) in institutions and public administration are now commonp…