270 citations · 627 across the 15 of their papers we have counts for
3 papers · 1 filter
A Methodology for Creating AI FactSheets
John Richards, David Piorkowski, Michael Hind +2
As AI models and services are used in a growing number of highstakes areas, a consensus is forming around the need for a clearer record of how these models and services are develop…
Trust and Transparency in Contact Tracing Applications
Stacy Hobson, Michael Hind, Aleksandra Mojsilovic +1
The global outbreak of COVID-19 has led to focus on efforts to manage and mitigate the continued spread of the disease. One of these efforts include the use of contact tracing to i…
Consumer-Driven Explanations for Machine Learning Decisions: An Empirical Study of Robustness
Michael Hind, Dennis Wei, Yunfeng Zhang
Many proposed methods for explaining machine learning predictions are in fact challenging to understand for nontechnical consumers. This paper builds upon an alternative consumer-d…