15 citations · 26 across the 7 of their papers we have counts for
7 papers
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…
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…
Artificial intelligence in government: Concepts, standards, and a unified framework
Vincent J. Straub, Deborah Morgan, Jonathan Bright +1
Recent advances in artificial intelligence (AI), especially in generative language modelling, hold the promise of transforming government. Given the advanced capabilities of new AI…
Beyond kinetic harm and towards a dynamic conceptualization of cyberterrorism
Vince J. Straub
After more than two decades of discussion, the concept of cyberterrorism remains plagued by confusion. This article presents the result of an integrative review which maps the deve…
The cost of coordination can exceed the benefit of collaboration in performing complex tasks
Vince J. Straub, Milena Tsvetkova, Taha Yasseri
Humans and other intelligent agents often rely on collective decision making based on an intuition that groups outperform individuals. However, at present, we lack a complete theor…