66 citations · 160 across the 15 of their papers we have counts for
16 papers
DoDo Learning: DOmain-DemOgraphic Transfer in Language Models for Detecting Abuse Targeted at Public Figures
Angus R. Williams, Hannah Rose Kirk, Liam Burke +6
Public figures receive a disproportionate amount of abuse on social media, impacting their active participation in public life. Automated systems can identify abuse at scale but la…
Understanding Counterspeech for Online Harm Mitigation
Yi-Ling Chung, Gavin Abercrombie, Florence Enock +2
Counterspeech offers direct rebuttals to hateful speech by challenging perpetrators of hate and showing support to targets of abuse. It provides a promising alternative to more con…
'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…
How can we combat online misinformation? A systematic overview of current interventions and their efficacy
Pica Johansson, Florence Enock, Scott Hale +4
The spread of misinformation is a pressing global problem that has elicited a range of responses from researchers, policymakers, civil society and industry. Over the past decade, t…
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…