14 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.HC2026
Improving understanding and trust in AI: How users benefit from interval-based counterfactual explanations
Tabea E. Röber, Paul Festor, Rob Goedhart +2
Experimental user studies evaluating the effectiveness of different subtypes of post-hoc explanations for black-box models are largely nonexistent. Therefore, the aim of this study…
cs.AI2023★ 1 cited
Semantic match: Debugging feature attribution methods in XAI for healthcare
Giovanni Cinà, Tabea E. Röber, Rob Goedhart +1
The recent spike in certified Artificial Intelligence (AI) tools for healthcare has renewed the debate around adoption of this technology. One thread of such debate concerns Explai…
cs.HC2022★ 14 cited
Why we do need Explainable AI for Healthcare
Giovanni Cinà, Tabea Röber, Rob Goedhart +1
The recent spike in certified Artificial Intelligence (AI) tools for healthcare has renewed the debate around adoption of this technology. One thread of such debate concerns Explai…