One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency

27 January 2020

Papers citing "One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency"

30 / 30 papers shown

Title
Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills Zana Buçinca S. Swaroop Amanda E. Paluch Finale Doshi-Velez Krzysztof Z. Gajos 56 2 0 05 Oct 2024
Explainable AI needs formal notions of explanation correctness Stefan Haufe Rick Wilming Benedict Clark Rustam Zhumagambetov Danny Panknin Ahcène Boubekki XAI 38 1 0 22 Sep 2024
Data Science Principles for Interpretable and Explainable AI Kris Sankaran FaML 50 0 0 17 May 2024
Aligning Knowledge Graphs Provided by Humans and Generated from Neural Networks in Specific Tasks Tangrui Li Jun Zhou 43 0 0 23 Apr 2024
SurvBeX: An explanation method of the machine learning survival models based on the Beran estimator Lev V. Utkin Danila Eremenko A. Konstantinov 37 4 0 07 Aug 2023
Interactive Explanation with Varying Level of Details in an Explainable Scientific Literature Recommender System Mouadh Guesmi Mohamed Amine Chatti Shoeb Joarder Qurat Ul Ain R. Alatrash Clara Siepmann Tannaz Vahidi 16 9 0 09 Jun 2023
Navigating Explanatory Multiverse Through Counterfactual Path Geometry Kacper Sokol E. Small Yueqing Xuan 45 5 0 05 Jun 2023
Reason to explain: Interactive contrastive explanations (REASONX) Laura State Salvatore Ruggieri Franco Turini LRM 35 1 0 29 May 2023
Visualization for Recommendation Explainability: A Survey and New Perspectives Mohamed Amine Chatti Mouadh Guesmi Arham Muslim XAI HAI LRM 33 5 0 19 May 2023
One Explanation Does Not Fit XIL Felix Friedrich David Steinmann Kristian Kersting LRM 37 2 0 14 Apr 2023
Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals Greta Warren Markt. Keane Christophe Guéret Eoin Delaney 26 13 0 16 Mar 2023
Mind the Gap! Bridging Explainable Artificial Intelligence and Human Understanding with Luhmann's Functional Theory of Communication B. Keenan Kacper Sokol 38 7 0 07 Feb 2023
Behaviour Trees for Creating Conversational Explanation Experiences A. Wijekoon D. Corsar Nirmalie Wiratunga 27 3 0 11 Nov 2022
Explanations Based on Item Response Theory (eXirt): A Model-Specific Method to Explain Tree-Ensemble Model in Trust Perspective José de Sousa Ribeiro Filho Lucas F. F. Cardoso R. Silva Vitor Cirilo Araujo Santos Nikolas Carneiro Ronnie Cley de Oliveira Alves 18 4 0 18 Oct 2022
Leveraging Explanations in Interactive Machine Learning: An Overview Stefano Teso Öznur Alkan Wolfgang Stammer Elizabeth M. Daly XAI FAtt LRM 31 62 0 29 Jul 2022
Why we do need Explainable AI for Healthcare Giovanni Cina Tabea E. Rober Rob Goedhart Ilker Birbil 37 14 0 30 Jun 2022
Mediators: Conversational Agents Explaining NLP Model Behavior Nils Feldhus A. Ravichandran Sebastian Möller 50 16 0 13 Jun 2022
Let's Go to the Alien Zoo: Introducing an Experimental Framework to Study Usability of Counterfactual Explanations for Machine Learning Ulrike Kuhl André Artelt Barbara Hammer 38 18 0 06 May 2022
Diagnosing AI Explanation Methods with Folk Concepts of Behavior Alon Jacovi Jasmijn Bastings Sebastian Gehrmann Yoav Goldberg Katja Filippova 41 15 0 27 Jan 2022
Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence Kacper Sokol Peter A. Flach 44 21 0 29 Dec 2021
AI Ethics Principles in Practice: Perspectives of Designers and Developers Conrad Sanderson David M. Douglas Qinghua Lu Emma Schleiger Jon Whittle J. Lacey G. Newnham S. Hajkowicz Cathy J. Robinson David Hansen FaML 33 46 0 14 Dec 2021
A User-Centred Framework for Explainable Artificial Intelligence in Human-Robot Interaction Marco Matarese F. Rea A. Sciutti 32 13 0 27 Sep 2021
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey Richard Dazeley Peter Vamplew Francisco Cruz 32 60 0 20 Aug 2021
Explainable Machine Learning with Prior Knowledge: An Overview Katharina Beckh Sebastian Müller Matthias Jakobs Vanessa Toborek Hanxiao Tan Raphael Fischer Pascal Welke Sebastian Houben Laura von Rueden XAI 27 28 0 21 May 2021
A Review on Explainability in Multimodal Deep Neural Nets Gargi Joshi Rahee Walambe K. Kotecha 34 140 0 17 May 2021
Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs Harini Suresh Kathleen M. Lewis John Guttag Arvind Satyanarayan FAtt 45 25 0 17 Feb 2021
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research Markus Langer Daniel Oster Timo Speith Holger Hermanns Lena Kästner Eva Schmidt Andreas Sesing Kevin Baum XAI 68 415 0 15 Feb 2021
The Three Ghosts of Medical AI: Can the Black-Box Present Deliver? Thomas P. Quinn Stephan Jacobs M. Senadeera Vuong Le S. Coghlan 33 112 0 10 Dec 2020
Explainable Empirical Risk Minimization Linli Zhang Georgios Karakasidis Arina Odnoblyudova Leyla Dogruel Alex Jung 27 5 0 03 Sep 2020
The Grammar of Interactive Explanatory Model Analysis Hubert Baniecki Dariusz Parzych P. Biecek 24 44 0 01 May 2020