465 citations · 1.3k across the 19 of their papers we have counts for
4 papers · 1 filter
Some HCI Priorities for GDPR-Compliant Machine Learning
Michael Veale, Reuben Binns, Max Van Kleek
In this short paper, we consider the roles of HCI in enabling the better governance of consequential machine learning systems using the rights and obligations laid out in the recen…
"So, Tell Me What Users Want, What They Really, Really Want!"
Ulrik Lyngs, Reuben Binns, Max Van Kleek +1
Equating users' true needs and desires with behavioural measures of 'engagement' is problematic. However, good metrics of 'true preferences' are difficult to define, as cognitive b…
Measuring third party tracker power across web and mobile
Reuben Binns, Jun Zhao, Max Van Kleek +1
Third-party networks collect vast amounts of data about users via web sites and mobile applications. Consolidations among tracker companies can significantly increase their individ…
Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making
Michael Veale, Max Van Kleek, Reuben Binns
Calls for heightened consideration of fairness and accountability in algorithmically-informed public decisions---like taxation, justice, and child protection---are now commonplace.…