43 citations · 101 across the 4 of their papers we have counts for
Showing cs.HCShow all
3 papers · 1 filter
cs.HC2024★ 8 cited
Representation Debiasing of Generated Data Involving Domain Experts
Aditya Bhattacharya, Simone Stumpf, Katrien Verbert
Biases in Artificial Intelligence (AI) or Machine Learning (ML) systems due to skewed datasets problematise the application of prediction models in practice. Representation bias is…
cs.HC2024★ 12 cited
Towards Directive Explanations: Crafting Explainable AI Systems for Actionable Human-AI Interactions
Aditya Bhattacharya
With Artificial Intelligence (AI) becoming ubiquitous in every application domain, the need for explanations is paramount to enhance transparency and trust among non-technical user…
cs.HC2023★ 43 cited
Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations
Aditya Bhattacharya, Jeroen Ooge, Gregor Stiglic +1
Explainable artificial intelligence is increasingly used in machine learning (ML) based decision-making systems in healthcare. However, little research has compared the utility of…