Explanation in Artificial Intelligence: Insights from the Social Sciences

22 June 2017

Papers citing "Explanation in Artificial Intelligence: Insights from the Social Sciences"

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Title
The AI-DEC: A Card-based Design Method for User-centered AI Explanations Christine P. Lee M. Lee Bilge Mutlu HAI 43 4 0 26 May 2024
Navigating AI Fallibility: Examining People's Reactions and Perceptions of AI after Encountering Personality Misrepresentations Qiaosi Wang Chidimma L. Anyi V. D. Swain Ashok K. Goel 31 0 0 25 May 2024
Reassessing Evaluation Functions in Algorithmic Recourse: An Empirical Study from a Human-Centered Perspective T. Tominaga Naomi Yamashita Takeshi Kurashima 28 1 0 23 May 2024
Why do explanations fail? A typology and discussion on failures in XAI Clara Bove Thibault Laugel Marie-Jeanne Lesot C. Tijus Marcin Detyniecki 35 2 0 22 May 2024
Explainable offline automatic signature verifier to support forensic handwriting examiners Moisés Díaz M. A. Ferrer-Ballester G. Vessio 44 3 0 21 May 2024
A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation Iveta Becková Stefan Pócos Giulia Belgiovine Marco Matarese A. Sciutti Carlo Mazzola Carlo Mazzola 42 0 0 20 May 2024
Mitigating Text Toxicity with Counterfactual Generation Milan Bhan Jean-Noel Vittaut Nina Achache Victor Legrand Nicolas Chesneau A. Blangero Juliette Murris Marie-Jeanne Lesot MedIm 40 0 0 16 May 2024
When factorization meets argumentation: towards argumentative explanations Jinfeng Zhong E. Negre FAtt 31 0 0 13 May 2024
Design Requirements for Human-Centered Graph Neural Network Explanations Pantea Habibi Peyman Baghershahi Sourav Medya Debaleena Chattopadhyay 35 1 0 11 May 2024
To Trust or Not to Trust: Towards a novel approach to measure trust for XAI systems Miquel Miró-Nicolau Gabriel Moyà Alcover Antoni Jaume-i-Capó Manuel González Hidalgo Maria Gemma Sempere Campello Juan Antonio Palmer Sancho 28 0 0 09 May 2024
Relevant Irrelevance: Generating Alterfactual Explanations for Image Classifiers Silvan Mertes Tobias Huber Christina Karle Katharina Weitz Ruben Schlagowski Cristina Conati Elisabeth André 28 0 0 08 May 2024
ACORN: Aspect-wise Commonsense Reasoning Explanation Evaluation Ana Brassard Benjamin Heinzerling Keito Kudo Keisuke Sakaguchi Kentaro Inui LRM 41 0 0 08 May 2024
Large Language Models Cannot Explain Themselves Advait Sarkar LRM 48 7 0 07 May 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey Rokas Gipiškis Chun-Wei Tsai Olga Kurasova 68 5 0 02 May 2024
Statistics and explainability: a fruitful alliance Valentina Ghidini 29 0 0 30 Apr 2024
ViTHSD: Exploiting Hatred by Targets for Hate Speech Detection on Vietnamese Social Media Texts Cuong Nhat Vo Khanh Bao Huynh Son T. Luu Trong-Hop Do 47 1 0 30 Apr 2024
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle Luca Deck Astrid Schomacker Timo Speith Jakob Schöffer Lena Kästner Niklas Kühl 48 4 0 29 Apr 2024
CEval: A Benchmark for Evaluating Counterfactual Text Generation Van Bach Nguyen Jorg Schlotterer Christin Seifert 41 6 0 26 Apr 2024
LLMs for Generating and Evaluating Counterfactuals: A Comprehensive Study Van Bach Nguyen Paul Youssef Jorg Schlotterer Christin Seifert 44 16 0 26 Apr 2024
SIDEs: Separating Idealization from Deceptive Explanations in xAI Emily Sullivan 54 2 0 25 Apr 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
MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification Models G. Guo Lifu Deng A. Tandon Alex Endert Bum Chul Kwon 44 2 0 24 Apr 2024
Explainable AI models for predicting liquefaction-induced lateral spreading Cheng-Hsi Hsiao Krishna Kumar Ellen Rathje 24 7 0 24 Apr 2024
ChEX: Interactive Localization and Region Description in Chest X-rays Philip Muller Georgios Kaissis Daniel Rueckert 35 5 0 24 Apr 2024
Does It Make Sense to Explain a Black Box With Another Black Box? J. Delaunay Luis Galárraga Christine Largouet AAML 29 1 0 23 Apr 2024
Mechanistic Interpretability for AI Safety -- A Review Leonard Bereska E. Gavves AI4CE 50 118 0 22 Apr 2024
Explainable Interfaces for Rapid Gaze-Based Interactions in Mixed Reality Mengjie Yu Dustin Harris Ian Jones Ting Zhang Yue Liu ... Krista E. Taylor Zhenhong Hu Mary A. Hood Hrvoje Benko Tanya R. Jonker 34 0 0 21 Apr 2024
Interval Abstractions for Robust Counterfactual Explanations Junqi Jiang Francesco Leofante Antonio Rago Francesca Toni 46 1 0 21 Apr 2024
A Framework for Feasible Counterfactual Exploration incorporating Causality, Sparsity and Density Kleopatra Markou Dimitrios Tomaras V. Kalogeraki Dimitrios Gunopulos CML 26 0 0 20 Apr 2024
COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images Dmytro Shvetsov Joonas Ariva M. Domnich Raul Vicente Dmytro Fishman MedIm 34 0 0 19 Apr 2024
Enhancing Counterfactual Explanation Search with Diffusion Distance and Directional Coherence M. Domnich Raul Vicente 21 3 0 19 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 62 7 0 19 Apr 2024
Prompt-Guided Generation of Structured Chest X-Ray Report Using a Pre-trained LLM Hongzhao Li Hongyu Wang Xia Sun Hua He Jun Feng 37 4 0 17 Apr 2024
CAGE: Causality-Aware Shapley Value for Global Explanations Nils Ole Breuer Andreas Sauter Majid Mohammadi Erman Acar FAtt 47 3 0 17 Apr 2024
Explainable Generative AI (GenXAI): A Survey, Conceptualization, and Research Agenda Johannes Schneider 83 26 0 15 Apr 2024
Beyond One-Size-Fits-All: Adapting Counterfactual Explanations to User Objectives Orfeas Menis Mastromichalakis Jason Liartis Giorgos Stamou 24 1 0 12 Apr 2024
Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of Human and Machine Explanations for Large Language Models Marvin Pafla Kate Larson Mark Hancock 48 6 0 11 Apr 2024
Interactive Prompt Debugging with Sequence Salience Ian Tenney Ryan Mullins Bin Du Shree Pandya Minsuk Kahng Lucas Dixon LRM 40 1 0 11 Apr 2024
Incremental XAI: Memorable Understanding of AI with Incremental Explanations Jessica Y. Bo Pan Hao Brian Y Lim CLL 44 7 0 10 Apr 2024
Allowing humans to interactively guide machines where to look does not always improve human-AI team's classification accuracy Giang Nguyen Mohammad Reza Taesiri Sunnie S. Y. Kim Anh Totti Nguyen HAI AAML FAtt 42 6 0 08 Apr 2024
Designing for Complementarity: A Conceptual Framework to Go Beyond the Current Paradigm of Using XAI in Healthcare Elisa Rubegni Omran Ayoub Stefania Maria Rita Rizzo Marco Barbero G. Bernegger Francesca Faraci Francesca Mangili Emiliano Soldini P. Trimboli Alessandro Facchini 31 1 0 06 Apr 2024
The SaTML '24 CNN Interpretability Competition: New Innovations for Concept-Level Interpretability Stephen Casper Jieun Yun Joonhyuk Baek Yeseong Jung Minhwan Kim ... A. Nicolson Arush Tagade Jessica Rumbelow Hieu Minh Nguyen Dylan Hadfield-Menell 32 2 0 03 Apr 2024
Explainability in JupyterLab and Beyond: Interactive XAI Systems for Integrated and Collaborative Workflows G. Guo Dustin L. Arendt Alex Endert 53 1 0 02 Apr 2024
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures Thanh Tam Nguyen T. T. Huynh Zhao Ren Thanh Toan Nguyen Phi Le Nguyen Hongzhi Yin Quoc Viet Hung Nguyen 83 8 0 31 Mar 2024
Automatic explanation of the classification of Spanish legal judgments in jurisdiction-dependent law categories with tree estimators Jaime González-González Francisco de Arriba-Pérez Silvia García-Méndez Andrea Busto-Castiñeira Francisco J. González Castaño AILaw ELM 44 6 0 30 Mar 2024
Towards a Framework for Evaluating Explanations in Automated Fact Verification Neema Kotonya Francesca Toni 42 5 0 29 Mar 2024
Leveraging Counterfactual Paths for Contrastive Explanations of POMDP Policies Benjamin Kraske Zakariya Laouar Zachary Sunberg 32 0 0 28 Mar 2024
PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans Lisa Anita De Santi Jorg Schlotterer Michael Scheschenja Joel Wessendorf Meike Nauta Vincenzo Positano Christin Seifert MedIm 38 3 0 27 Mar 2024
Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making Shuai Ma Qiaoyi Chen Xinru Wang Chengbo Zheng Zhenhui Peng Ming Yin Xiaojuan Ma ELM 42 20 0 25 Mar 2024
RankingSHAP -- Listwise Feature Attribution Explanations for Ranking Models Maria Heuss Maarten de Rijke Avishek Anand 202 1 0 24 Mar 2024