How to Support Users in Understanding Intelligent Systems? Structuring the Discussion

22 January 2020

Papers citing "How to Support Users in Understanding Intelligent Systems? Structuring the Discussion"

11 / 11 papers shown

Title
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI Upol Ehsan Koustuv Saha M. D. Choudhury Mark O. Riedl 18 57 0 01 Feb 2023
Adaptive user interfaces in systems targeting chronic disease: a systematic literature review Wen Wang Hourieh Khalajzadeh Anuradha Madugalla Jennifer McIntosh Humphrey O. Obie 19 7 0 17 Nov 2022
Modeling Human Behavior Part I -- Learning and Belief Approaches Andrew Fuchs A. Passarella M. Conti 35 7 0 13 May 2022
Modeling Human Behavior Part II -- Cognitive approaches and Uncertainty Andrew Fuchs A. Passarella M. Conti 17 4 0 13 May 2022
Designing Creative AI Partners with COFI: A Framework for Modeling Interaction in Human-AI Co-Creative Systems Jeba Rezwana M. Maher 17 141 0 15 Apr 2022
A Cognitive Framework for Delegation Between Error-Prone AI and Human Agents Andrew Fuchs A. Passarella M. Conti 18 7 0 06 Apr 2022
GANSlider: How Users Control Generative Models for Images using Multiple Sliders with and without Feedforward Information Hai Dang Lukas Mecke Daniel Buschek 28 31 0 02 Feb 2022
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI Upol Ehsan Mark O. Riedl XAI SILM 59 58 0 26 Sep 2021
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations Upol Ehsan Samir Passi Q. V. Liao Larry Chan I-Hsiang Lee Michael J. Muller Mark O. Riedl 32 85 0 28 Jul 2021
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 192 742 0 13 Dec 2018
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,683 0 28 Feb 2017