4 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.HC2022★ 4 cited
Towards Involving End-users in Interactive Human-in-the-loop AI Fairness
Yuri Nakao, Simone Stumpf, Subeida Ahmed +2
Ensuring fairness in artificial intelligence (AI) is important to counteract bias and discrimination in far-reaching applications. Recent work has started to investigate how humans…
cs.LG2021
BeFair: Addressing Fairness in the Banking Sector
Alessandro Castelnovo, Riccardo Crupi, Giulia Del Gamba +4
Algorithmic bias mitigation has been one of the most difficult conundrums for the data science community and Machine Learning (ML) experts. Over several years, there have appeared…
cs.CY2013
Technical report: Linking the scientific and clinical data with KI2NA-LHC
Vit Novacek, Aisha Naseer
We introduce a use case and propose a system for data and knowledge integration in life sciences. In particular, we focus on linking clinical resources (electronic patient records)…