Human-centered explanation does not fit all: The interplay of sociotechnical, cognitive, and individual factors in the effect AI explanations in algorithmic decision-making

17 February 2025

Papers citing "Human-centered explanation does not fit all: The interplay of sociotechnical, cognitive, and individual factors in the effect AI explanations in algorithmic decision-making"

9 / 9 papers shown

Title
Explainable AI is Dead, Long Live Explainable AI! Hypothesis-driven decision support Tim Miller 49 123 0 24 Feb 2023
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 84 58 0 01 Feb 2023
Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies Vivian Lai Chacha Chen Q. V. Liao Alison Smith-Renner Chenhao Tan 64 188 0 21 Dec 2021
Designing AI for Trust and Collaboration in Time-Constrained Medical Decisions: A Sociotechnical Lens Maia L. Jacobs Jeffrey He Melanie F. Pradier Barbara D. Lam Andrew C Ahn T. McCoy R. Perlis Finale Doshi-Velez Krzysztof Z. Gajos 80 146 0 01 Feb 2021
Drug discovery with explainable artificial intelligence José Jiménez-Luna F. Grisoni G. Schneider 116 631 0 01 Jul 2020
Explainable Artificial Intelligence: a Systematic Review Giulia Vilone Luca Longo XAI 49 268 0 29 May 2020
Metrics for Explainable AI: Challenges and Prospects R. Hoffman Shane T. Mueller Gary Klein Jordan Litman XAI 67 722 0 11 Dec 2018
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR Sandra Wachter Brent Mittelstadt Chris Russell MLAU 81 2,332 0 01 Nov 2017
Explanation in Artificial Intelligence: Insights from the Social Sciences Tim Miller XAI 225 4,229 0 22 Jun 2017