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

Title
Can AI Explanations Make You Change Your Mind? Laura Spillner Rachel Ringe R. Porzel Rainer Malaka 72 0 0 11 Aug 2025
A Feature Engineering Approach for Business Impact-Oriented Failure Detection in Distributed Instant Payment Systems Lorenzo Porcelli 64 0 0 07 Aug 2025
Accessibility Scout: Personalized Accessibility Scans of Built EnvironmentsACM Symposium on User Interface Software and Technology (UIST), 2025 William Huang Xia Su Jon E. Froehlich Yang Zhang 115 1 0 31 Jul 2025
Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations Laura Spillner Nima Zargham M. Pomarlan R. Porzel Rainer Malaka 97 0 0 29 Jul 2025
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 283 2 0 09 Apr 2025
Fewer Than 1% of Explainable AI Papers Validate Explainability with Humans Ashley Suh Isabelle Hurley Nora Smith H. Siu 137 5 0 13 Mar 2025
Establishing and Evaluating Trustworthy AI: Overview and Research Challenges Dominik Kowald S. Scher Viktoria Pammer-Schindler Peter Müllner Kerstin Waxnegger ... Andreas Truegler Eduardo E. Veas Roman Kern Tomislav Nad Simone Kopeinik 211 22 0 15 Nov 2024
GraphXAIN: Narratives to Explain Graph Neural Networks Mateusz Cedro David Martens 429 5 0 04 Nov 2024
A Mechanistic Explanatory Strategy for XAI Marcin Rabiza 252 3 0 02 Nov 2024
Explainable and Human-Grounded AI for Decision Support Systems: The Theory of Epistemic Quasi-Partnerships John Dorsch Maximilian Moll 178 4 0 23 Sep 2024
Beyond Model Interpretability: Socio-Structural Explanations in Machine LearningAi & Society (AS), 2024 Andrew Smart Atoosa Kasirzadeh 227 10 0 05 Sep 2024
Evaluating graph-based explanations for AI-based recommender systems Simon Delarue Astrid Bertrand Tiphaine Viard 144 0 0 17 Jul 2024
STL: Still Tricky Logic (for System Validation, Even When Showing Your Work) Isabelle Hurley Rohan R. Paleja Ashley Suh Jaime D. Peña H. Siu 145 5 0 02 Jul 2024
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
CoLa-DCE -- Concept-guided Latent Diffusion Counterfactual Explanations Franz Motzkus Christian Hellert Ute Schmid DiffM 165 3 0 03 Jun 2024
Why do explanations fail? A typology and discussion on failures in XAI Clara Bove Thibault Laugel Marie-Jeanne Lesot C. Tijus Marcin Detyniecki 189 7 0 22 May 2024
Fiper: a Visual-based Explanation Combining Rules and Feature Importance Eleonora Cappuccio D. Fadda Rosa Lanzilotti Salvatore Rinzivillo FAtt 105 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 254 14 0 19 Apr 2024
How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey Thu Nguyen Alessandro Canossa Jichen Zhu 151 9 0 21 Mar 2024
Trust in AI: Progress, Challenges, and Future DirectionsHumanities and Social Sciences Communications (HSSC), 2024 S. Afroogh Ali Akbari Evan Malone Mohammadali Kargar Hananeh Alambeigi AI4TS 169 126 0 12 Mar 2024
User Characteristics in Explainable AI: The Rabbit Hole of Personalization? Robert Nimmo Marios Constantinides Ke Zhou Daniele Quercia Simone Stumpf 140 21 0 29 Feb 2024
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology Nur Yildirim Hannah Richardson Maria T. A. Wetscherek Junaid Bajwa Joseph Jacob ... Ozan Oktay M. Lungren Javier Alvarez-Valle A. Nori Anja Thieme LM&MA 190 84 0 22 Feb 2024
Is Machine Learning Unsafe and Irresponsible in Social Sciences? Paradoxes and Reconsidering from Recidivism Prediction TasksAsian journal of Criminology (Asian J Criminol), 2023 Jianhong Liu D. Li 153 4 0 11 Nov 2023
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research DirectionsInformation Fusion (Inf. Fusion), 2023 Luca Longo Mario Brcic Federico Cabitza Jaesik Choi Roberto Confalonieri ... Andrés Páez Wojciech Samek Johannes Schneider Timo Speith Simone Stumpf 396 350 0 30 Oct 2023
An Information Bottleneck Characterization of the Understanding-Workload TradeoffConference on Fairness, Accountability and Transparency (FAccT), 2023 Lindsay M. Sanneman Mycal Tucker Julie A. Shah 188 5 0 11 Oct 2023
Tell Me a Story! Narrative-Driven XAI with Large Language ModelsDecision Support Systems (DSS), 2023 David Martens James Hinns Camille Dams Mark Vergouwen Theodoros Evgeniou 244 15 0 29 Sep 2023
Explainable AI applications in the Medical Domain: a systematic review Nicoletta Prentzas A. Kakas Constantinos S. Pattichis 194 16 0 10 Aug 2023
Sources of Opacity in Computer Systems: Towards a Comprehensive Taxonomy Sara Mann Barnaby Crook Lena Kästner Astrid Schomacker Timo Speith 164 7 0 26 Jul 2023
Towards Interpretability in Audio and Visual Affective Machine Learning: A ReviewIEEE Transactions on Affective Computing (IEEE Trans. Affective Comput.), 2023 David S. Johnson Olya Hakobyan Hanna Drimalla 127 3 0 15 Jun 2023
Reason to explain: Interactive contrastive explanations (REASONX) Laura State Salvatore Ruggieri Franco Turini LRM 262 2 0 29 May 2023
STL: Surprisingly Tricky Logic (for System Validation)IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023 H. Siu Kevin J. Leahy Makai Mann 120 7 0 26 May 2023
The Case Against Explainability Hofit Wasserman Rozen N. Elkin-Koren Ran Gilad-Bachrach AILaw ELM 123 3 0 20 May 2023
ConvXAI: Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing Hua Shen Huang Chieh-Yang Tongshuang Wu Ting-Hao 'Kenneth' Huang 293 43 0 16 May 2023
Explaining Model Confidence Using CounterfactualsAAAI Conference on Artificial Intelligence (AAAI), 2023 Thao Le Tim Miller Ronal Singh L. Sonenberg 110 6 0 10 Mar 2023
Invisible Users: Uncovering End-Users' Requirements for Explainable AI via Explanation Forms and Goals Weina Jin Jianyu Fan D. Gromala Philippe Pasquier Ghassan Hamarneh 207 9 0 10 Feb 2023
Mind the Gap! Bridging Explainable Artificial Intelligence and Human Understanding with Luhmann's Functional Theory of Communication B. Keenan Kacper Sokol 281 8 0 07 Feb 2023
Five policy uses of algorithmic transparency and explainability Matthew R. O’Shaughnessy 274 0 0 06 Feb 2023
Hypothesis Testing and Machine Learning: Interpreting Variable Effects in Deep Artificial Neural Networks using Cohen's f2Applied Soft Computing (Appl. Soft Comput.), 2023 Wolfgang Messner CML 167 15 0 02 Feb 2023
SoK: Modeling Explainability in Security Analytics for Interpretability, Trustworthiness, and UsabilityARES (ARES), 2022 Dipkamal Bhusal Rosalyn Shin Ajay Ashok Shewale M. K. Veerabhadran Michael Clifford Sara Rampazzi Nidhi Rastogi FAtt AAML 202 14 0 31 Oct 2022
Machine Learning in Transaction Monitoring: The Prospect of xAIHawaii International Conference on System Sciences (HICSS), 2022 Julie Gerlings Ioanna D. Constantiou 94 4 0 14 Oct 2022
What Do End-Users Really Want? Investigation of Human-Centered XAI for Mobile Health Apps Katharina Weitz Alexander Zellner Elisabeth André 92 6 0 07 Oct 2022
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI InteractionInternational Conference on Human Factors in Computing Systems (CHI), 2022 Sunnie S. Y. Kim E. A. Watkins Olga Russakovsky Ruth C. Fong Andrés Monroy-Hernández 254 141 0 02 Oct 2022
Explainable Reinforcement Learning on Financial Stock Trading using SHAP Satyam Kumar Mendhikar Vishal V. Ravi AIFin 123 9 0 18 Aug 2022
Transcending XAI Algorithm Boundaries through End-User-Inspired Design Weina Jin Jianyu Fan D. Gromala Philippe Pasquier Xiaoxiao Li Ghassan Hamarneh 228 3 0 18 Aug 2022
Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AIAAAI Conference on Human Computation & Crowdsourcing (HCOMP), 2022 Q. V. Liao Yunfeng Zhang Ronny Luss Finale Doshi-Velez Amit Dhurandhar 212 91 0 22 Jun 2022
Understanding a Robot's Guiding Ethical Principles via Automatically Generated Explanations Benjamin Krarup F. Lindner Senka Krivic D. Long 85 2 0 20 Jun 2022
Improving Model Understanding and Trust with Counterfactual Explanations of Model Confidence Thao Le Tim Miller Ronal Singh L. Sonenberg 109 11 0 06 Jun 2022
"If it didn't happen, why would I change my decision?": How Judges Respond to Counterfactual Explanations for the Public Safety AssessmentAAAI Conference on Human Computation & Crowdsourcing (HCOMP), 2022 Yaniv Yacoby Ben Green Christopher L. Griffin Finale Doshi Velez 273 18 0 11 May 2022
Sensible AI: Re-imagining Interpretability and Explainability using Sensemaking TheoryConference on Fairness, Accountability and Transparency (FAccT), 2022 Harmanpreet Kaur Eytan Adar Eric Gilbert Cliff Lampe 97 67 0 10 May 2022
Explain yourself! Effects of Explanations in Human-Robot InteractionIEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2022 Jakob Ambsdorf A. Munir Yiyao Wei Klaas Degkwitz Harm Matthias Harms ... Kyra Ahrens Dennis Becker Erik Strahl Tom Weber S. Wermter 150 11 0 09 Apr 2022