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 / 56 papers shown

Title
Beware of "Explanations" of AI David Martens Galit Shmueli Theodoros Evgeniou Kevin Bauer Christian Janiesch ... Claudia Perlich Wouter Verbeke Alona Zharova Patrick Zschech F. Provost 31 0 0 09 Apr 2025
GraphXAIN: Narratives to Explain Graph Neural Networks Mateusz Cedro David Martens 62 0 0 04 Nov 2024
A Mechanistic Explanatory Strategy for XAI Marcin Rabiza 59 1 0 02 Nov 2024
An Actionability Assessment Tool for Explainable AI Ronal Singh Tim Miller L. Sonenberg Eduardo Velloso F. Vetere Piers Howe Paul Dourish 27 2 0 19 Jun 2024
Fiper: a Visual-based Explanation Combining Rules and Feature Importance Eleonora Cappuccio D. Fadda Rosa Lanzilotti Salvatore Rinzivillo FAtt 42 1 0 25 Apr 2024
How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law Benjamin Frész Elena Dubovitskaya Danilo Brajovic Marco F. Huber Christian Horz 59 7 0 19 Apr 2024
Reason to explain: Interactive contrastive explanations (REASONX) Laura State Salvatore Ruggieri Franco Turini LRM 32 1 0 29 May 2023
The Case Against Explainability Hofit Wasserman Rozen N. Elkin-Koren Ran Gilad-Bachrach AILaw ELM 36 1 0 20 May 2023
Explaining Model Confidence Using Counterfactuals Thao Le Tim Miller Ronal Singh L. Sonenberg 21 4 0 10 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
Machine Learning in Transaction Monitoring: The Prospect of xAI Julie Gerlings Ioanna D. Constantiou 17 2 0 14 Oct 2022
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction Sunnie S. Y. Kim E. A. Watkins Olga Russakovsky Ruth C. Fong Andrés Monroy-Hernández 43 109 0 02 Oct 2022
Explainable Reinforcement Learning on Financial Stock Trading using SHAP Satyam Kumar Mendhikar Vishal V. Ravi AIFin 34 8 0 18 Aug 2022
"If it didn't happen, why would I change my decision?": How Judges Respond to Counterfactual Explanations for the Public Safety Assessment Yaniv Yacoby Ben Green Christopher L. Griffin Finale Doshi Velez 21 16 0 11 May 2022
Explain yourself! Effects of Explanations in Human-Robot Interaction Jakob Ambsdorf A. Munir Yiyao Wei Klaas Degkwitz Harm Matthias Harms ... Kyra Ahrens Dennis Becker Erik Strahl Tom Weber S. Wermter 27 8 0 09 Apr 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
Combining Sub-Symbolic and Symbolic Methods for Explainability Anna Himmelhuber S. Grimm Sonja Zillner Mitchell Joblin Martin Ringsquandl Thomas Runkler 21 5 0 03 Dec 2021
On Two XAI Cultures: A Case Study of Non-technical Explanations in Deployed AI System Helen Jiang Erwen Senge 25 7 0 02 Dec 2021
Making Things Explainable vs Explaining: Requirements and Challenges under the GDPR Francesco Sovrano F. Vitali M. Palmirani 35 10 0 02 Oct 2021
Trustworthy AI and Robotics and the Implications for the AEC Industry: A Systematic Literature Review and Future Potentials Newsha Emaminejad Reza Akhavian 28 48 0 27 Sep 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
Some Critical and Ethical Perspectives on the Empirical Turn of AI Interpretability Jean-Marie John-Mathews 50 34 0 20 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
Levels of explainable artificial intelligence for human-aligned conversational explanations Richard Dazeley Peter Vamplew Cameron Foale Charlotte Young Sunil Aryal F. Cruz 30 90 0 07 Jul 2021
Understanding Consumer Preferences for Explanations Generated by XAI Algorithms Yanou Ramon T. Vermeire Olivier Toubia David Martens Theodoros Evgeniou 34 10 0 06 Jul 2021
Explainable AI, but explainable to whom? Julie Gerlings Millie Søndergaard Jensen Arisa Shollo 40 43 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 21 19 0 08 Jun 2021
A First Look: Towards Explainable TextVQA Models via Visual and Textual Explanations Varun Nagaraj Rao Xingjian Zhen K. Hovsepian Mingwei Shen 37 18 0 29 Apr 2021
GraphSVX: Shapley Value Explanations for Graph Neural Networks Alexandre Duval Fragkiskos D. Malliaros FAtt 17 86 0 18 Apr 2021
Contrastive Explanations of Plans Through Model Restrictions Benjamin Krarup Senka Krivic Daniele Magazzeni D. Long Michael Cashmore David E. Smith 22 32 0 29 Mar 2021
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques Mark T. Keane Eoin M. Kenny Eoin Delaney Barry Smyth CML 29 146 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 Research Markus Langer Daniel Oster Timo Speith Holger Hermanns Lena Kästner Eva Schmidt Andreas Sesing Kevin Baum XAI 68 415 0 15 Feb 2021
EUCA: the End-User-Centered Explainable AI Framework Weina Jin Jianyu Fan D. Gromala Philippe Pasquier Ghassan Hamarneh 40 24 0 04 Feb 2021
How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations Sérgio Jesus Catarina Belém Vladimir Balayan João Bento Pedro Saleiro P. Bizarro João Gama 136 119 0 21 Jan 2021
Explanation from Specification Harish Naik Gyorgy Turán XAI 27 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 33 112 0 10 Dec 2020
Explaining by Removing: A Unified Framework for Model Explanation Ian Covert Scott M. Lundberg Su-In Lee FAtt 53 243 0 21 Nov 2020
Feature Removal Is a Unifying Principle for Model Explanation Methods Ian Covert Scott M. Lundberg Su-In Lee FAtt 33 33 0 06 Nov 2020
A Game-Based Approach for Helping Designers Learn Machine Learning Concepts Chelsea M. Myers Jiachi Xie Jichen Zhu 19 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 23 6 0 10 Sep 2020
Sequential Explanations with Mental Model-Based Policies A. Yeung Shalmali Joshi Joseph Jay Williams Frank Rudzicz FAtt LRM 36 15 0 17 Jul 2020
Data-Driven Game Development: Ethical Considerations M. S. El-Nasr Erica Kleinman 22 22 0 18 Jun 2020
Who is this Explanation for? Human Intelligence and Knowledge Graphs for eXplainable AI I. Celino 12 5 0 27 May 2020
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps Tobias Huber Katharina Weitz Elisabeth André Ofra Amir FAtt 21 64 0 18 May 2020
The Grammar of Interactive Explanatory Model Analysis Hubert Baniecki Dariusz Parzych P. Biecek 24 44 0 01 May 2020
The Pragmatic Turn in Explainable Artificial Intelligence (XAI) Andrés Páez 27 191 0 22 Feb 2020
Explainability Fact Sheets: A Framework for Systematic Assessment of Explainable Approaches Kacper Sokol Peter A. Flach XAI 19 299 0 11 Dec 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 41 6,125 0 22 Oct 2019
FACE: Feasible and Actionable Counterfactual Explanations Rafael Poyiadzi Kacper Sokol Raúl Santos-Rodríguez T. D. Bie Peter A. Flach 15 365 0 20 Sep 2019
On the Semantic Interpretability of Artificial Intelligence Models V. S. Silva André Freitas Siegfried Handschuh AI4CE 25 8 0 09 Jul 2019