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
eXplainable Artificial Intelligence on Medical Images: A Survey Matteus Vargas Simao da Silva Rodrigo Reis Arrais Jhessica Victoria Santos da Silva Felipe Souza Tanios Mateus A. Chinelatto ... Fabiana Cristina Queiroz de Oliveira Marucci Francisco Alves de Souza Neto Danilo Xavier Silva Vitor Yukio Kondo C. F. G. Santos MedIm XAI 23 1 0 12 May 2023
Achieving Diversity in Counterfactual Explanations: a Review and Discussion Thibault Laugel Adulam Jeyasothy Marie-Jeanne Lesot Christophe Marsala Marcin Detyniecki CML 29 10 0 10 May 2023
Logic for Explainable AI Adnan Darwiche 43 8 0 09 May 2023
XAI in Computational Linguistics: Understanding Political Leanings in the Slovenian Parliament Bojan Evkoski Senja Pollak 20 2 0 08 May 2023
Neighboring Words Affect Human Interpretation of Saliency Explanations Tim Dockhorn Yaoliang Yu Heike Adel Mahdi Zolnouri V. Nia FAtt MILM 41 3 0 04 May 2023
Explaining Language Models' Predictions with High-Impact Concepts Ruochen Zhao Chenyu You Yongjie Wang Tan Wang LRM 71 8 0 03 May 2023
Using Large Language Models for Interpreting Autonomous Robots Behaviors Miguel Ángel González Santamarta Laura Fernández-Becerra David Sobrín-Hidalgo Ángel Manuel Guerrero Higueras Irene González Francisco J. Rodríguez-Lera 46 11 0 28 Apr 2023
A New Class of Explanations for Classifiers with Non-Binary Features Chunxi Ji Adnan Darwiche FAtt 38 3 0 28 Apr 2023
Algorithmic Recourse with Missing Values Kentaro Kanamori Takuya Takagi Ken Kobayashi Yuichi Ike 36 2 0 28 Apr 2023
Categorical Foundations of Explainable AI: A Unifying Theory Pietro Barbiero S. Fioravanti Francesco Giannini Alberto Tonda Pietro Lio Elena Di Lavore XAI 40 2 0 27 Apr 2023
Disagreement amongst counterfactual explanations: How transparency can be deceptive Dieter Brughmans Lissa Melis David Martens 39 3 0 25 Apr 2023
TIGTEC : Token Importance Guided TExt Counterfactuals Milan Bhan Jean-Noel Vittaut Nicolas Chesneau Marie-Jeanne Lesot 32 9 0 24 Apr 2023
Towards a Praxis for Intercultural Ethics in Explainable AI Chinasa T. Okolo 44 3 0 24 Apr 2023
SketchXAI: A First Look at Explainability for Human Sketches Zhiyu Qu Yulia Gryaditskaya Ke Li Kaiyue Pang Tao Xiang Yi-Zhe Song 34 8 0 23 Apr 2023
An Efficient Ensemble Explainable AI (XAI) Approach for Morphed Face Detection Rudresh Dwivedi Ritesh Kumar Deepak Chopra Pranay Kothari Manjot Singh CVBM AAML 41 7 0 23 Apr 2023
A Review of Deep Learning for Video Captioning Moloud Abdar Meenakshi Kollati Swaraja Kuraparthi Farhad Pourpanah Daniel J. McDuff ... Shuicheng Yan Abduallah A. Mohamed Abbas Khosravi Min Zhang Fatih Porikli 3DV 45 21 0 22 Apr 2023
Trust and Reliance in Consensus-Based Explanations from an Anti-Misinformation Agent Takane Ueno Yeongdae Kim Hiroki Oura Katie Seaborn 25 5 0 22 Apr 2023
Semantics, Ontology and Explanation G. Guizzardi Nicola Guarino 16 7 0 21 Apr 2023
Impact Of Explainable AI On Cognitive Load: Insights From An Empirical Study L. Herm 26 22 0 18 Apr 2023
Interactive and Explainable Region-guided Radiology Report Generation Tim Tanida Philip Muller Georgios Kaissis Daniel Rueckert MedIm 43 111 0 17 Apr 2023
Quantifying and Explaining Machine Learning Uncertainty in Predictive Process Monitoring: An Operations Research Perspective Nijat Mehdiyev Maxim Majlatow Peter Fettke 38 12 0 13 Apr 2023
MLOps Spanning Whole Machine Learning Life Cycle: A Survey Fang Zhengxin Yuan Yi Zhang Jingyu Liu Yue Mu Yuechen ... Xu Xiwei Wang Jeff Wang Chen Zhang Shuai Chen Shiping 37 4 0 13 Apr 2023
Can Large Language Models Transform Computational Social Science? Caleb Ziems William B. Held Omar Shaikh Jiaao Chen Zhehao Zhang Diyi Yang LLMAG 41 289 0 12 Apr 2023
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When? M. Rubaiyat Hossain Mondal Prajoy Podder 31 57 0 10 Apr 2023
Explanation Strategies for Image Classification in Humans vs. Current Explainable AI Ruoxi Qi Yueyuan Zheng Yi Yang Caleb Chen Cao J. H. Hsiao 38 5 0 10 Apr 2023
Explainable AI And Visual Reasoning: Insights From Radiology Rob Kaufman David Kirsh 29 5 0 06 Apr 2023
Blaming Humans and Machines: What Shapes People's Reactions to Algorithmic Harm Gabriel Lima Nina Grgić-Hlavca M. Cha 28 26 0 05 Apr 2023
Is More Always Better? The Effects of Personal Characteristics and Level of Detail on the Perception of Explanations in a Recommender System Mohamed Amine Chatti Mouadh Guesmi Laura Vorgerd Thao Ngo Shoeb Joarder Qurat Ul Ain Arham Muslim HAI 22 25 0 03 Apr 2023
Conveying Autonomous Robot Capabilities through Contrasting Behaviour Summaries Peter Du S. Murthy Katherine Driggs-Campbell 91 2 0 01 Apr 2023
Why is plausibility surprisingly problematic as an XAI criterion? Weina Jin Xiaoxiao Li Ghassan Hamarneh 65 3 0 30 Mar 2023
Interactive Explanations by Conflict Resolution via Argumentative Exchanges Antonio Rago Hengzhi Li Francesca Toni 36 17 0 27 Mar 2023
TsSHAP: Robust model agnostic feature-based explainability for time series forecasting V. Raykar Arindam Jati Sumanta Mukherjee Nupur Aggarwal Kanthi Kiran Sarpatwar Giridhar Ganapavarapu Roman Vaculin FAtt AI4TS 11 1 0 22 Mar 2023
A multidomain relational framework to guide institutional AI research and adoption Vince J. Straub Deborah Morgan Youmna Hashem John Francis Saba Esnaashari Jonathan Bright 49 8 0 17 Mar 2023
Iterative Partial Fulfillment of Counterfactual Explanations: Benefits and Risks Yilun Zhou 49 0 0 17 Mar 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
Integrating Temporality and Causality into Acyclic Argumentation Frameworks using a Transition System Y. Munro C. Sarmiento I. Bloch G. Bourgne Paris LRM 17 1 0 16 Mar 2023
Explaining Model Confidence Using Counterfactuals Thao Le Tim Miller Ronal Singh L. Sonenberg 21 4 0 10 Mar 2023
Explainable Goal Recognition: A Framework Based on Weight of Evidence Abeer Alshehri Tim Miller Mor Vered 50 3 0 09 Mar 2023
RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement Learning Jasmina Gajcin Ivana Dusparic CML 32 3 0 08 Mar 2023
A System's Approach Taxonomy for User-Centred XAI: A Survey Ehsan Emamirad Pouya Ghiasnezhad Omran A. Haller S. Gregor 31 1 0 06 Mar 2023
On Modifying a Neural Network's Perception Manuel de Sousa Ribeiro João Leite AAML 35 1 0 05 Mar 2023
DeepLens: Interactive Out-of-distribution Data Detection in NLP Models D. Song Zhijie Wang Yuheng Huang Lei Ma Tianyi Zhang 32 4 0 02 Mar 2023
Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Tools Frederic Gmeiner Humphrey Yang L. Yao Kenneth Holstein Nikolas Martelaro AI4CE 62 65 0 01 Mar 2023
PACCART: Reinforcing Trust in Multiuser Privacy Agreement Systems Daan Di Scala P. Yolum 19 2 0 27 Feb 2023
CrystalBox: Future-Based Explanations for Input-Driven Deep RL Systems Sagar Patel Sangeetha Abdu Jyothi Nina Narodytska OffRL 21 0 0 27 Feb 2023
MDF-Net for abnormality detection by fusing X-rays with clinical data Chih-Jou Hsieh Isabel Blanco Nobre Sandra Costa Sousa Chun Ouyang M. Brereton Jacinto C. Nascimento Joaquim A. Jorge Catarina Moreira 18 8 0 26 Feb 2023
GANterfactual-RL: Understanding Reinforcement Learning Agents' Strategies through Visual Counterfactual Explanations Tobias Huber Maximilian Demmler Silvan Mertes Matthew Lyle Olson Elisabeth André 25 15 0 24 Feb 2023
Explainable AI is Dead, Long Live Explainable AI! Hypothesis-driven decision support Tim Miller 32 121 0 24 Feb 2023
Causal Explanations for Sequential Decision-Making in Multi-Agent Systems Balint Gyevnar Chenghe Wang Christopher G. Lucas Shay B. Cohen Stefano V. Albrecht CML 34 11 0 21 Feb 2023
Bridging the Transparency Gap: What Can Explainable AI Learn From the AI Act? Balint Gyevnar Nick Ferguson Burkhard Schafer 45 15 0 21 Feb 2023