15 citations · 19 across the 4 of their papers we have counts for
4 papers
Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate Fairness
Yuri Nakao, Lorenzo Strappelli, Simone Stumpf +3
With Artificial intelligence (AI) to aid or automate decision-making advancing rapidly, a particular concern is its fairness. In order to create reliable, safe and trustworthy syst…
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…
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…
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)…