66 citations · 160 across the 15 of their papers we have counts for
4 papers · 1 filter
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…