Directive Explanations for Actionable Explainability in Machine Learning
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Directive Explanations for Actionable Explainability in Machine Learning Applications

3 February 2021

Eduardo Velloso

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Papers citing "Directive Explanations for Actionable Explainability in Machine Learning Applications"

15 / 15 papers shown

Title
An Actionability Assessment Tool for Explainable AI Ronal Singh Tim Miller L. Sonenberg Eduardo Velloso F. Vetere Piers Howe Paul Dourish 105 2 0 19 Jun 2024
Beyond Words: On Large Language Models Actionability in Mission-Critical Risk Analysis Matteo Esposito Francesco Palagiano Valentina Lenarduzzi Davide Taibi 331 12 0 11 Jun 2024
Reassessing Evaluation Functions in Algorithmic Recourse: An Empirical Study from a Human-Centered PerspectiveInternational Joint Conference on Artificial Intelligence (IJCAI), 2024 T. Tominaga Naomi Yamashita Takeshi Kurashima 219 3 0 23 May 2024
Cost-Adaptive Recourse Recommendation by Adaptive Preference Elicitation Duy Nguyen Bao Nguyen Viet Anh Nguyen 158 0 0 23 Feb 2024
Towards Directive Explanations: Crafting Explainable AI Systems for Actionable Human-AI Interactions Aditya Bhattacharya 175 10 0 29 Dec 2023
Redefining Qualitative Analysis in the AI Era: Utilizing ChatGPT for Efficient Thematic AnalysisComputers in Human Behavior (CHB), 2023 He Zhang Chuhao Wu Jingyi Xie Yao Lyu Jie Cai John M. Carroll 258 108 0 19 Sep 2023
SafeAR: Safe Algorithmic Recourse by Risk-Aware PoliciesAAAI Conference on Artificial Intelligence (AAAI), 2023 Haochen Wu Sanjay Kariyappa Sunandita Patra Sriram Gopalakrishnan 185 1 0 23 Aug 2023
Beyond Single-Feature Importance with ICECREAMCLEaR (CLEaR), 2023 M.-J. Oesterle Patrick Blobaum Atalanti A. Mastakouri Elke Kirschbaum CML 252 1 0 19 Jul 2023
Why Don't You Do Something About It? Outlining Connections between AI Explanations and User Actions Gennie Mansi Mark O. Riedl 119 7 0 10 May 2023
Feasible Recourse Plan via Diverse InterpolationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 D. Nguyen Ngoc H. Bui Viet Anh Nguyen 114 6 0 22 Feb 2023
Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If ExplorationsInternational Conference on Intelligent User Interfaces (IUI), 2023 Aditya Bhattacharya Jeroen Ooge Gregor Stiglic K. Verbert 128 44 0 21 Feb 2023
Amortized Generation of Sequential Algorithmic Recourses for Black-box ModelsAAAI Conference on Artificial Intelligence (AAAI), 2021 Sahil Verma Keegan E. Hines John P. Dickerson 208 26 0 07 Jun 2021
LEx: A Framework for Operationalising Layers of Machine Learning Explanations Ronal Singh Upol Ehsan M. Cheong Mark O. Riedl Tim Miller 96 5 0 15 Apr 2021
STARdom: an architecture for trusted and secure human-centered manufacturing systemsAdvances in Production Management Systems (APMS), 2021 Jože M. Rožanec Patrik Zajec K. Kenda I. Novalija B. Fortuna ... Diego Reforgiato Recupero D. Kyriazis G. Sofianidis Spyros Theodoropoulos John Soldatos 101 9 0 02 Apr 2021
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A ReviewACM Computing Surveys (ACM CSUR), 2020 Sahil Verma Varich Boonsanong Minh Hoang Keegan E. Hines John P. Dickerson Chirag Shah CML 628 228 0 20 Oct 2020