Explanation in Artificial Intelligence: Insights from the Social Sciences

22 June 2017

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

50 / 1,242 papers shown

Title
Aligning Explanations with Human Communication Jacopo Teneggi Zhenzhen Wang Paul H. Yi Tianmin Shu Jeremias Sulam 21 0 0 21 May 2025
Explaining Unreliable Perception in Automated Driving: A Fuzzy-based Monitoring Approach Aniket Salvi Gereon Weiss Mario Trapp 14 0 0 20 May 2025
Truth or Twist? Optimal Model Selection for Reliable Label Flipping Evaluation in LLM-based Counterfactuals Qianli Wang Van Bach Nguyen Nils Feldhus Luis Felipe Villa-Arenas Christin Seifert Sebastian Möller Vera Schmitt 9 0 0 20 May 2025
Through a Compressed Lens: Investigating the Impact of Quantization on LLM Explainability and Interpretability Qianli Wang Mingyang Wang Nils Feldhus Simon Ostermann Yuan Cao Hinrich Schütze Sebastian Möller Vera Schmitt MQ 14 0 0 20 May 2025
Information Science Principles of Machine Learning: A Causal Chain Meta-Framework Based on Formalized Information Mapping Jianfeng Xu AI4CE 14 0 0 19 May 2025
Heart2Mind: Human-Centered Contestable Psychiatric Disorder Diagnosis System using Wearable ECG Monitors Hung Nguyen Alireza Rahimi Veronica Whitford Hélène Fournier Irina Kondratova René Richard Hung Cao 32 0 0 16 May 2025
A Fast Kernel-based Conditional Independence test with Application to Causal Discovery Oliver Schacht Biwei Huang 24 0 0 16 May 2025
A User Study Evaluating Argumentative Explanations in Diagnostic Decision Support Felix Liedeker Olivia Sanchez-Graillet Moana Seidler Christian Brandt Jörg Wellmer Philipp Cimiano 31 0 0 15 May 2025
Explaining Autonomous Vehicles with Intention-aware Policy Graphs Sara Montese Victor Gimenez-Abalos Atia Cortés Ulises Cortés Sergio Alvarez-Napagao 38 0 0 13 May 2025
Explainable Reinforcement Learning Agents Using World Models Madhuri Singh Amal Alabdulkarim Gennie Mansi Mark O. Riedl 28 0 0 12 May 2025
Interpretable Event Diagnosis in Water Distribution Networks André Artelt Stelios G. Vrachimis Demetrios G. Eliades Ulrike Kuhl Barbara Hammer Marios M. Polycarpou 36 0 0 12 May 2025
Realistic Counterfactual Explanations for Machine Learning-Controlled Mobile Robots using 2D LiDAR Sindre Benjamin Remman A. Lekkas 29 0 0 11 May 2025
Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations Dima Alattal Asal Khoshravan Azar P. Myles Richard Branson Hatim Abdulhussein Allan Tucker 29 0 0 10 May 2025
What Do People Want to Know About Artificial Intelligence (AI)? The Importance of Answering End-User Questions to Explain Autonomous Vehicle (AV) Decisions Somayeh Molaei Lionel P. Robert Nikola Banovic 31 0 0 09 May 2025
KERAIA: An Adaptive and Explainable Framework for Dynamic Knowledge Representation and Reasoning Stephen Richard Varey A. D. Stefano Anh Han 73 0 0 07 May 2025
Robustness questions the interpretability of graph neural networks: what to do? Kirill Lukyanov Georgii Sazonov Serafim Boyarsky Ilya Makarov AAML 247 0 0 05 May 2025
A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Pouria Fatemi Ehsan Sharifian Mohammad Hossein Yassaee 43 0 0 05 May 2025
xEEGNet: Towards Explainable AI in EEG Dementia Classification Andrea Zanola Louis Fabrice Tshimanga Federico Del Pup Marco Baiesi Manfredo Atzori 34 0 0 30 Apr 2025
Disjunctive and Conjunctive Normal Form Explanations of Clusters Using Auxiliary Information Robert F. Downey S. S. Ravi 36 0 0 29 Apr 2025
Mitigating Societal Cognitive Overload in the Age of AI: Challenges and Directions Salem Lahlou 62 0 0 28 Apr 2025
Enhancing Cell Counting through MLOps: A Structured Approach for Automated Cell Analysis Matteo Testi Luca Clissa Matteo Ballabio Salvatore Ricciardi Federico Baldo Emanuele Frontoni S. Moccia Gennario Vessio 74 0 0 28 Apr 2025
Towards responsible AI for education: Hybrid human-AI to confront the Elephant in the room Danial Hooshyar Gustav Šír Yeongwook Yang Eve Kikas Raija Hamalainen T. Karkkainen Dragan Gašević Roger Azevedo 42 0 0 22 Apr 2025
Do It For Me vs. Do It With Me: Investigating User Perceptions of Different Paradigms of Automation in Copilots for Feature-Rich Software Anjali Khurana Xiaotian Su April Yi Wang Parmit K. Chilana 45 1 0 22 Apr 2025
Causal DAG Summarization (Full Version) Anna Zeng Michael Cafarella Batya Kenig Markos Markakis Brit Youngmann Babak Salimi CML 45 1 0 21 Apr 2025
ScholarMate: A Mixed-Initiative Tool for Qualitative Knowledge Work and Information Sensemaking Runlong Ye Patrick Yung Kang Lee Matthew Varona Oliver Huang Carolina Nobre 43 0 0 19 Apr 2025
Probabilistic Stability Guarantees for Feature Attributions Helen Jin Anton Xue Weiqiu You Surbhi Goel Eric Wong 32 0 0 18 Apr 2025
AskQE: Question Answering as Automatic Evaluation for Machine Translation Dayeon Ki Kevin Duh Marine Carpuat 36 1 0 15 Apr 2025
Revisiting the attacker's knowledge in inference attacks against Searchable Symmetric Encryption Marc Damie Jean-Benoist Leger Florian Hahn Andreas Peter AAML 48 1 0 14 Apr 2025
A Multi-Layered Research Framework for Human-Centered AI: Defining the Path to Explainability and Trust Chameera De Silva Thilina Halloluwa Dhaval Vyas 27 0 0 14 Apr 2025
GlyTwin: Digital Twin for Glucose Control in Type 1 Diabetes Through Optimal Behavioral Modifications Using Patient-Centric Counterfactuals Asiful Arefeen Saman Khamesian Maria Adela Grando Bithika Thompson Hassan Ghasemzadeh 51 0 0 14 Apr 2025
Towards an Evaluation Framework for Explainable Artificial Intelligence Systems for Health and Well-being Esperança Amengual-Alcover Antoni Jaume-i-Capó Miquel Miró-Nicolau Gabriel Moyà Alcover Antonia Paniza-Fullana 42 0 0 11 Apr 2025
Exploring the Effectiveness and Interpretability of Texts in LLM-based Time Series Models Zhengke Sun Hangwei Qian Ivor Tsang AI4TS 36 0 0 09 Apr 2025
Predicting Satisfaction of Counterfactual Explanations from Human Ratings of Explanatory Qualities M. Domnich Rasmus Moorits Veski Julius Valja Kadi Tulver Raul Vicente FAtt 45 0 0 07 Apr 2025
Improving Counterfactual Truthfulness for Molecular Property Prediction through Uncertainty Quantification Jonas Teufel Annika Leinweber Pascal Friederich 57 0 0 03 Apr 2025
Rubrik's Cube: Testing a New Rubric for Evaluating Explanations on the CUBE dataset Diana Galván-Sosa Gabrielle Gaudeau Pride Kavumba Yunmeng Li Hongyi gu Zheng Yuan Keisuke Sakaguchi P. Buttery LRM 40 0 0 31 Mar 2025
Which LIME should I trust? Concepts, Challenges, and Solutions Patrick Knab Sascha Marton Udo Schlegel Christian Bartelt FAtt 45 0 0 31 Mar 2025
Exploring Explainable Multi-player MCTS-minimax Hybrids in Board Game Using Process Mining Yiyu Qian Tim Miller Zheng Qian Liyuan Zhao 44 0 0 30 Mar 2025
Interpretable Machine Learning in Physics: A Review Sebastian Johann Wetzel Seungwoong Ha Raban Iten Miriam Klopotek Ziming Liu AI4CE 80 0 0 30 Mar 2025
Ranking Counterfactual Explanations Suryani Lim H. Prade G. Richard CML 71 0 0 20 Mar 2025
Disentangling Fine-Tuning from Pre-Training in Visual Captioning with Hybrid Markov Logic Monika Shah Somdeb Sarkhel Deepak Venugopal MLLM BDL VLM 87 0 0 18 Mar 2025
Interpretable Transformation and Analysis of Timelines through Learning via Surprisability O. Mokryn Teddy Lazebnik Hagit Ben-Shoshan AI4TS 67 0 0 06 Mar 2025
Guiding LLMs to Generate High-Fidelity and High-Quality Counterfactual Explanations for Text Classification Van Bach Nguyen C. Seifert Jorg Schlotterer BDL 68 0 0 06 Mar 2025
Conceptual Contrastive Edits in Textual and Vision-Language Retrieval Maria Lymperaiou Giorgos Stamou VLM 55 0 0 01 Mar 2025
Why Trust in AI May Be Inevitable Nghi Truong Phanish Puranam Ilia Testlin 41 0 0 28 Feb 2025
QPM: Discrete Optimization for Globally Interpretable Image Classification Thomas Norrenbrock Timo Kaiser Sovan Biswas R. Manuvinakurike Bodo Rosenhahn 69 0 0 27 Feb 2025
A Method for Evaluating the Interpretability of Machine Learning Models in Predicting Bond Default Risk Based on LIME and SHAP Yan Zhang Lin Chen Yixiang Tian FAtt 67 0 0 26 Feb 2025
Less or More: Towards Glanceable Explanations for LLM Recommendations Using Ultra-Small Devices Xinru Wang Mengjie Yu Hannah Nguyen Michael Iuzzolino Tianyi Wang ... Ting Zhang Naveen Sendhilnathan Hrvoje Benko Haijun Xia Tanya R. Jonker 58 0 0 26 Feb 2025
Can LLMs Explain Themselves Counterfactually? Zahra Dehghanighobadi Asja Fischer Muhammad Bilal Zafar LRM 49 0 0 25 Feb 2025
All You Need for Counterfactual Explainability Is Principled and Reliable Estimate of Aleatoric and Epistemic Uncertainty Kacper Sokol Eyke Hüllermeier 58 2 0 24 Feb 2025
Comparing zero-shot self-explanations with human rationales in text classification Stephanie Brandl Oliver Eberle 65 0 0 24 Feb 2025