317 citations · 1.2k across the 26 of their papers we have counts for
7 papers · 1 filter
Power to the People? Opportunities and Challenges for Participatory AI
Abeba Birhane, William Isaac, Vinodkumar Prabhakaran +4
Participatory approaches to artificial intelligence (AI) and machine learning (ML) are gaining momentum: the increased attention comes partly with the view that participation opens…
Automating Ambiguity: Challenges and Pitfalls of Artificial Intelligence
Abeba Birhane
Machine learning (ML) and artificial intelligence (AI) tools increasingly permeate every possible social, political, and economic sphere; sorting, taxonomizing and predicting compl…
The games we play: critical complexity improves machine learning
Abeba Birhane, David J. T. Sumpter
When mathematical modelling is applied to capture a complex system, multiple models are often created that characterize different aspects of that system. Often, a model at one leve…
The Forgotten Margins of AI Ethics
Abeba Birhane, Elayne Ruane, Thomas Laurent +4
How has recent AI Ethics literature addressed topics such as fairness and justice in the context of continued social and structural power asymmetries? We trace both the historical…
Data Justice Stories: A Repository of Case Studies
David Leslie, Morgan Briggs, Antonella Perini +7
The idea of "data justice" is of recent academic vintage. It has arisen over the past decade in Anglo-European research institutions as an attempt to bring together a critique of t…
Advancing Data Justice Research and Practice: An Integrated Literature Review
David Leslie, Michael Katell, Mhairi Aitken +9
The Advancing Data Justice Research and Practice (ADJRP) project aims to widen the lens of current thinking around data justice and to provide actionable resources that will help p…