Fairness is not static: deeper understanding of long term fairness via simulation studies
As machine learning becomes increasingly incorporated within high impact decision
ecosystems, there is a growing need to understand the long-term behaviors of deployed ML …
ecosystems, there is a growing need to understand the long-term behaviors of deployed ML …
Evaluating saliency map explanations for convolutional neural networks: a user study
A Alqaraawi, M Schuessler, P Weiß… - Proceedings of the 25th …, 2020 - dl.acm.org
Convolutional neural networks (CNNs) offer great machine learning performance over a
range of applications, but their operation is hard to interpret, even for experts. Various …
range of applications, but their operation is hard to interpret, even for experts. Various …
Effects of algorithmic flagging on fairness: Quasi-experimental evidence from Wikipedia
Online community moderators often rely on social signals such as whether or not a user has
an account or a profile page as clues that users may cause problems. Reliance on these …
an account or a profile page as clues that users may cause problems. Reliance on these …
[PDF][PDF] Who watches the workers
R Warin, D McCann - Power and accountability in digital …, 2018 - neweconomics.org
A new economy is emerging. And this new economy is powered by a new type of fuel: data.
As the data economy becomes increasingly prominent, there are troubling signs that it is …
As the data economy becomes increasingly prominent, there are troubling signs that it is …