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Explainable AI: Beware of Inmates Running the Asylum Or: How I Learnt to Stop Worrying and Love the Social and Behavioural Sciences

2 December 2017

Papers citing "Explainable AI: Beware of Inmates Running the Asylum Or: How I Learnt to Stop Worrying and Love the Social and Behavioural Sciences"

50 / 127 papers shown

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From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AIACM Computing Surveys (ACM CSUR), 2022 Meike Nauta Jan Trienes Shreyasi Pathak Elisa Nguyen Michelle Peters Yasmin Schmitt Jorg Schlotterer M. V. Keulen C. Seifert ELM XAI 499 544 0 20 Jan 2022
Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence Kacper Sokol Peter A. Flach 209 27 0 29 Dec 2021
Combining Sub-Symbolic and Symbolic Methods for Explainability Anna Himmelhuber S. Grimm Sonja Zillner Mitchell Joblin Martin Ringsquandl Thomas Runkler 112 7 0 03 Dec 2021
On Two XAI Cultures: A Case Study of Non-technical Explanations in Deployed AI System Helen Jiang Erwen Senge 102 11 0 02 Dec 2021
Human-AI interaction: An emerging interdisciplinary domain for enabling human-centered AI Wei Xu Liezhong Ge Zaifeng Gao 104 6 0 29 Oct 2021
Human-Centered Explainable AI (XAI): From Algorithms to User Experiences Q. V. Liao R. Varshney 374 278 0 20 Oct 2021
Making Things Explainable vs Explaining: Requirements and Challenges under the GDPR Francesco Sovrano F. Vitali M. Palmirani 128 14 0 02 Oct 2021
Trustworthy AI and Robotics and the Implications for the AEC Industry: A Systematic Literature Review and Future PotentialsAutomation in Construction (AC), 2021 Newsha Emaminejad Reza Akhavian 141 63 0 27 Sep 2021
A User-Centred Framework for Explainable Artificial Intelligence in Human-Robot Interaction Marco Matarese F. Rea A. Sciutti 157 17 0 27 Sep 2021
Explanation Strategies as an Empirical-Analytical Lens for Socio-Technical Contextualization of Machine Learning Interpretability J. Benjamin C. Kinkeldey Claudia Muller-Birn Tim Korjakow Eva-Maria Herbst 178 11 0 24 Sep 2021
Some Critical and Ethical Perspectives on the Empirical Turn of AI Interpretability Jean-Marie John-Mathews 193 38 0 20 Sep 2021
AdViCE: Aggregated Visual Counterfactual Explanations for Machine Learning Model Validation Oscar Gomez Steffen Holter Jun Yuan E. Bertini AAML CML HAI 82 24 0 12 Sep 2021
Readying Medical Students for Medical AI: The Need to Embed AI Ethics Education Thomas P. Quinn S. Coghlan 72 22 0 07 Sep 2021
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey Richard Dazeley Peter Vamplew Francisco Cruz 172 74 0 20 Aug 2021
Desiderata for Explainable AI in statistical production systems of the European Central Bank Carlos Navarro Georgios Kanellos Thomas Gottron 163 10 0 18 Jul 2021
Levels of explainable artificial intelligence for human-aligned conversational explanations Richard Dazeley Peter Vamplew Cameron Foale Charlotte Young Sunil Aryal F. Cruz 135 103 0 07 Jul 2021
Understanding Consumer Preferences for Explanations Generated by XAI Algorithms Yanou Ramon T. Vermeire Olivier Toubia David Martens Theodoros Evgeniou 129 12 0 06 Jul 2021
Explainable AI, but explainable to whom? Julie Gerlings Millie Søndergaard Jensen Arisa Shollo 154 49 0 10 Jun 2021
Explainable AI for medical imaging: Explaining pneumothorax diagnoses with Bayesian Teaching Tomas Folke Scott Cheng-Hsin Yang S. Anderson Patrick Shafto 87 20 0 08 Jun 2021
Designer-User Communication for XAI: An epistemological approach to discuss XAI design J. Ferreira Mateus de Souza Monteiro 75 7 0 17 May 2021
Abstraction, Validation, and Generalization for Explainable Artificial IntelligenceApplied AI Letters (AA), 2021 Scott Cheng-Hsin Yang Tomas Folke Patrick Shafto 151 6 0 16 May 2021
XAI Handbook: Towards a Unified Framework for Explainable AI Sebastián M. Palacio Adriano Lucieri Mohsin Munir Jörn Hees Sheraz Ahmed Andreas Dengel 113 39 0 14 May 2021
Transitioning to human interaction with AI systems: New challenges and opportunities for HCI professionals to enable human-centered AIInternational journal of human computer interactions (IJHCI), 2021 Wei Xu Marvin Dainoff Liezhong Ge Zaifeng Gao 406 232 0 12 May 2021
A First Look: Towards Explainable TextVQA Models via Visual and Textual Explanations Varun Nagaraj Rao Xingjian Zhen K. Hovsepian Mingwei Shen 159 21 0 29 Apr 2021
GraphSVX: Shapley Value Explanations for Graph Neural Networks Alexandre Duval Fragkiskos D. Malliaros FAtt 210 113 0 18 Apr 2021
Contrastive Explanations of Plans Through Model RestrictionsJournal of Artificial Intelligence Research (JAIR), 2021 Benjamin Krarup Senka Krivic Daniele Magazzeni D. Long Michael Cashmore David E. Smith 148 45 0 29 Mar 2021
A Study of Automatic Metrics for the Evaluation of Natural Language ExplanationsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021 Miruna Clinciu Arash Eshghi H. Hastie 177 61 0 15 Mar 2021
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI TechniquesInternational Joint Conference on Artificial Intelligence (IJCAI), 2021 Mark T. Keane Eoin M. Kenny Eoin Delaney Barry Smyth CML 238 162 0 26 Feb 2021
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI ResearchArtificial Intelligence (AI), 2021 Markus Langer Daniel Oster Timo Speith Holger Hermanns Lena Kästner Eva Schmidt Andreas Sesing Kevin Baum XAI 209 488 0 15 Feb 2021
Designing for Contestation: Insights from Administrative Law Henrietta Lyons Eduardo Velloso Tim Miller 74 2 0 08 Feb 2021
EUCA: the End-User-Centered Explainable AI Framework Weina Jin Jianyu Fan D. Gromala Philippe Pasquier Ghassan Hamarneh 240 27 0 04 Feb 2021
How can I choose an explainer? An Application-grounded Evaluation of Post-hoc ExplanationsConference on Fairness, Accountability and Transparency (FAccT), 2021 Sérgio Jesus Catarina Belém Vladimir Balayan João Bento Pedro Saleiro P. Bizarro João Gama 338 128 0 21 Jan 2021
Explanation from Specification Harish Naik Gyorgy Turán XAI 99 0 0 13 Dec 2020
The Three Ghosts of Medical AI: Can the Black-Box Present Deliver? Thomas P. Quinn Stephan Jacobs M. Senadeera Vuong Le S. Coghlan 102 134 0 10 Dec 2020
Reviewing the Need for Explainable Artificial Intelligence (xAI)Hawaii International Conference on System Sciences (HICSS), 2020 Julie Gerlings Arisa Shollo Ioanna D. Constantiou 308 78 0 02 Dec 2020
Explaining by Removing: A Unified Framework for Model ExplanationJournal of machine learning research (JMLR), 2020 Ian Covert Scott M. Lundberg Su-In Lee FAtt 329 294 0 21 Nov 2020
Qualitative Investigation in Explainable Artificial Intelligence: A Bit More Insight from Social Science Adam J. Johs Denise E. Agosto Rosina O. Weber 172 7 0 13 Nov 2020
Feature Removal Is a Unifying Principle for Model Explanation Methods Ian Covert Scott M. Lundberg Su-In Lee FAtt 318 39 0 06 Nov 2020
Explainable AI without Interpretable Model Kary Framling ELM 67 8 0 29 Sep 2020
Should We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations F. Sperrle Mennatallah El-Assady G. Guo Duen Horng Chau Alex Endert Daniel A. Keim 139 23 0 14 Sep 2020
A Game-Based Approach for Helping Designers Learn Machine Learning Concepts Chelsea M. Myers Jiachi Xie Jichen Zhu 122 4 0 11 Sep 2020
Play MNIST For Me! User Studies on the Effects of Post-Hoc, Example-Based Explanations & Error Rates on Debugging a Deep Learning, Black-Box Classifier Courtney Ford Eoin M. Kenny Mark T. Keane 75 6 0 10 Sep 2020
Beneficial and Harmful Explanatory Machine LearningMachine-mediated learning (ML), 2020 L. Ai Stephen Muggleton Céline Hocquette Mark Gromowski Ute Schmid 129 33 0 09 Sep 2020
Micro-entries: Encouraging Deeper Evaluation of Mental Models Over Time for Interactive Data Systems Jeremy E. Block Eric D. Ragan 112 8 0 02 Sep 2020
Mediating Community-AI Interaction through Situated Explanation: The Case of AI-Led Moderation Yubo Kou Xinning Gui 87 45 0 19 Aug 2020
Sequential Explanations with Mental Model-Based Policies A. Yeung Shalmali Joshi Joseph Jay Williams Frank Rudzicz FAtt LRM 175 16 0 17 Jul 2020
Data-Driven Game Development: Ethical Considerations M. S. El-Nasr Erica Kleinman 146 23 0 18 Jun 2020
Explanations of Black-Box Model Predictions by Contextual Importance and Utility S. Anjomshoae Kary Främling A. Najjar 154 38 0 30 May 2020
Explainable Artificial Intelligence: a Systematic Review Giulia Vilone Luca Longo XAI 523 299 0 29 May 2020
Who is this Explanation for? Human Intelligence and Knowledge Graphs for eXplainable AI I. Celino 111 6 0 27 May 2020