Explanation in Artificial Intelligence: Insights from the Social
Sciences

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Explanation in Artificial Intelligence: Insights from the Social Sciences

22 June 2017

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

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Human Cognitive Biases in Explanation-Based Interaction: The Case of Within and Between Session Order Effect

Human Cognitive Biases in Explanation-Based Interaction: The Case of Within and Between Session Order Effect

Alessandro Bogani

48

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0

04 Dec 2025

A Framework for Causal Concept-based Model Explanations

A Framework for Causal Concept-based Model Explanations

Anna Rodum Bjøru

Jacob Lysnæs-Larsen

Oskar Jørgensen

67

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0

02 Dec 2025

Actionable and diverse counterfactual explanations incorporating domain knowledge and causal constraints

Actionable and diverse counterfactual explanations incorporating domain knowledge and causal constraints

Grzegorz J. Nalepa

87

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0

25 Nov 2025

Formal Abductive Latent Explanations for Prototype-Based Networks

Zakaria Chihani

Julien Girard-Satabin

Romain Xu-Darme

Daniela Cancila

146

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20 Nov 2025

Rethinking Saliency Maps: A Cognitive Human Aligned Taxonomy and Evaluation Framework for Explanations

Rethinking Saliency Maps: A Cognitive Human Aligned Taxonomy and Evaluation Framework for Explanations

Yehonatan Elisha

Noam Koenigstein

295

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17 Nov 2025

MACIE: Multi-Agent Causal Intelligence Explainer for Collective Behavior Understanding

Abraham Itzhak Weinberg

448

1

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11 Nov 2025

Unlocking the Black Box: A Five-Dimensional Framework for Evaluating Explainable AI in Credit Risk

Unlocking the Black Box: A Five-Dimensional Framework for Evaluating Explainable AI in Credit Risk

97

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07 Nov 2025

Retrofitters, pragmatists and activists: Public interest litigation for accountable automated decision-making

Retrofitters, pragmatists and activists: Public interest litigation for accountable automated decision-making

61

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05 Nov 2025

Fair and Explainable Credit-Scoring under Concept Drift: Adaptive Explanation Frameworks for Evolving Populations

Fair and Explainable Credit-Scoring under Concept Drift: Adaptive Explanation Frameworks for Evolving Populations

506

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05 Nov 2025

Variational Geometric Information Bottleneck: Learning the Shape of Understanding

Variational Geometric Information Bottleneck: Learning the Shape of Understanding

105

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04 Nov 2025

llmSHAP: A Principled Approach to LLM Explainability

llmSHAP: A Principled Approach to LLM Explainability

Tobias Sundqvist

Timotheus Kampik

308

0

0

03 Nov 2025

Interpretable Model-Aware Counterfactual Explanations for Random Forest

Interpretable Model-Aware Counterfactual Explanations for Random Forest

Joshua S. Harvey

Sai Anusha Meesala

382

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31 Oct 2025

Survey of Multimodal Geospatial Foundation Models: Techniques, Applications, and Challenges

Survey of Multimodal Geospatial Foundation Models: Techniques, Applications, and Challenges

Antonio J. Plaza

187

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27 Oct 2025

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata

Rodrigo Tertulino

Ricardo Almeida

98

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25 Oct 2025

Towards the Formalization of a Trustworthy AI for Mining Interpretable Models explOiting Sophisticated Algorithms

Towards the Formalization of a Trustworthy AI for Mining Interpretable Models explOiting Sophisticated Algorithms

Riccardo Guidotti

Martina Cinquini

Marta Marchiori Manerba

Francesco Spinnato

168

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23 Oct 2025

Leveraging Association Rules for Better Predictions and Better Explanations

Leveraging Association Rules for Better Predictions and Better Explanations

Gilles Audemard

S. Coste-Marquis

133

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0

21 Oct 2025

What Questions Should Robots Be Able to Answer? A Dataset of User Questions for Explainable Robotics

What Questions Should Robots Be Able to Answer? A Dataset of User Questions for Explainable Robotics

Lennart Wachowiak

134

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18 Oct 2025

Foundation and Large-Scale AI Models in Neuroscience: A Comprehensive Review

Foundation and Large-Scale AI Models in Neuroscience: A Comprehensive Review

Danilo Bernardo

156

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18 Oct 2025

Preliminary Quantitative Study on Explainability and Trust in AI Systems

Preliminary Quantitative Study on Explainability and Trust in AI Systems

Allen Daniel Sunny

93

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17 Oct 2025

On the Design and Evaluation of Human-centered Explainable AI Systems: A Systematic Review and Taxonomy

On the Design and Evaluation of Human-centered Explainable AI Systems: A Systematic Review and Taxonomy

Susanne Weinhold

Sebastian Pannasch

154

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14 Oct 2025

Argumentation-Based Explainability for Legal AI: Comparative and Regulatory Perspectives

Argumentation-Based Explainability for Legal AI: Comparative and Regulatory Perspectives

Andrada Iulia Prajescu

Roberto Confalonieri

105

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13 Oct 2025

ABLEIST: Intersectional Disability Bias in LLM-Generated Hiring Scenarios

ABLEIST: Intersectional Disability Bias in LLM-Generated Hiring Scenarios

Tanushree Mitra

Aditya Vashistha

154

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13 Oct 2025

Extended Triangular Method: A Generalized Algorithm for Contradiction Separation Based Automated Deduction

Extended Triangular Method: A Generalized Algorithm for Contradiction Separation Based Automated Deduction

77

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12 Oct 2025

From Explainability to Action: A Generative Operational Framework for Integrating XAI in Clinical Mental Health Screening

From Explainability to Action: A Generative Operational Framework for Integrating XAI in Clinical Mental Health Screening

Akshata Kishore Moharir

Divya Arvinda Nayak

126

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10 Oct 2025

Towards Meaningful Transparency in Civic AI Systems

Towards Meaningful Transparency in Civic AI Systems

Dave Murray-Rust

137

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09 Oct 2025

Cluster Paths: Navigating Interpretability in Neural Networks

Cluster Paths: Navigating Interpretability in Neural Networks

Nicholas M. Kroeger

Vincent Bindschaedler

123

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08 Oct 2025

Semantic Regexes: Auto-Interpreting LLM Features with a Structured Language

Semantic Regexes: Auto-Interpreting LLM Features with a Structured Language

Yannick Assogba

Arvind Satyanarayan

144

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0

07 Oct 2025

Reproducibility Study of "XRec: Large Language Models for Explainable Recommendation"

Reproducibility Study of "XRec: Large Language Models for Explainable Recommendation"

Quinten van Engelen

110

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06 Oct 2025

Does Using Counterfactual Help LLMs Explain Textual Importance in Classification?

Does Using Counterfactual Help LLMs Explain Textual Importance in Classification?

James Asikin Cheung

117

1

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05 Oct 2025

Kantian-Utilitarian XAI: Meta-Explained

Kantian-Utilitarian XAI: Meta-Explained

115

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04 Oct 2025

Evaluation Framework for Highlight Explanations of Context Utilisation in Language Models

Evaluation Framework for Highlight Explanations of Context Utilisation in Language Models

Sagnik Ray Choudhury

Sekh Mainul Islam

Isabelle Augenstein

197

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03 Oct 2025

From Facts to Foils: Designing and Evaluating Counterfactual Explanations for Smart Environments

From Facts to Foils: Designing and Evaluating Counterfactual Explanations for Smart Environments

Mersedeh Sadeghi

Andreas Vogelsang

122

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03 Oct 2025

Onto-Epistemological Analysis of AI Explanations

Onto-Epistemological Analysis of AI Explanations

Martina Mattioli

Marcello Pelillo

Siavash Bigdeli

231

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0

03 Oct 2025

The Unheard Alternative: Contrastive Explanations for Speech-to-Text Models

The Unheard Alternative: Contrastive Explanations for Speech-to-Text Models

Guillaume Wisniewski

128

1

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30 Sep 2025

Human-Centered Evaluation of RAG outputs: a framework and questionnaire for human-AI collaboration

Human-Centered Evaluation of RAG outputs: a framework and questionnaire for human-AI collaboration

84

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30 Sep 2025

Not All Explanations are Created Equal: Investigating the Pitfalls of Current XAI Evaluation

Not All Explanations are Created Equal: Investigating the Pitfalls of Current XAI Evaluation

87

1

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27 Sep 2025

Ontological foundations for contrastive explanatory narration of robot plans

Ontological foundations for contrastive explanatory narration of robot plans

Alberto Olivares-Alarcos

Guillem Alenyà

60

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26 Sep 2025

Efficient & Correct Predictive Equivalence for Decision Trees

Efficient & Correct Predictive Equivalence for Decision Trees

Joao Marques-Silva

Alexey Ignatiev

335

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22 Sep 2025

Looking in the mirror: A faithful counterfactual explanation method for interpreting deep image classification models

Looking in the mirror: A faithful counterfactual explanation method for interpreting deep image classification models

Vu Minh Hieu Phan

Anton van den Hengel

168

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20 Sep 2025

Towards a Transparent and Interpretable AI Model for Medical Image Classifications

Towards a Transparent and Interpretable AI Model for Medical Image ClassificationsCognitive Neurodynamics (Cogn Neurodyn), 2025

125

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20 Sep 2025

Secure Human Oversight of AI: Exploring the Attack Surface of Human Oversight

Secure Human Oversight of AI: Exploring the Attack Surface of Human Oversight

Elmar Lichtmeß

187

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0

15 Sep 2025

Abduct, Act, Predict: Scaffolding Causal Inference for Automated Failure Attribution in Multi-Agent Systems

Abduct, Act, Predict: Scaffolding Causal Inference for Automated Failure Attribution in Multi-Agent Systems

155

4

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12 Sep 2025

Explaining Tournament Solutions with Minimal Supports

Explaining Tournament Solutions with Minimal Supports

Clément Contet

332

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11 Sep 2025

LLMs Don't Know Their Own Decision Boundaries: The Unreliability of Self-Generated Counterfactual Explanations

LLMs Don't Know Their Own Decision Boundaries: The Unreliability of Self-Generated Counterfactual Explanations

132

3

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11 Sep 2025

An Interpretable Deep Learning Model for General Insurance Pricing

An Interpretable Deep Learning Model for General Insurance Pricing

166

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10 Sep 2025

TalkToAgent: A Human-centric Explanation of Reinforcement Learning Agents with Large Language Models

TalkToAgent: A Human-centric Explanation of Reinforcement Learning Agents with Large Language Models

156

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05 Sep 2025

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework

David Herrera-Poyatos

Carlos Peláez-González

Cristina Zuheros

101

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05 Sep 2025

An Information-Flow Perspective on Explainability Requirements: Specification and Verification

An Information-Flow Perspective on Explainability Requirements: Specification and Verification

Bernd Finkbeiner

181

1

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01 Sep 2025

Ultra Strong Machine Learning: Teaching Humans Active Learning Strategies via Automated AI Explanations

Ultra Strong Machine Learning: Teaching Humans Active Learning Strategies via Automated AI Explanations

Johannes Langer

Stephen Muggleton

223

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0

31 Aug 2025

Model Science: getting serious about verification, explanation and control of AI systems

Model Science: getting serious about verification, explanation and control of AI systems

Przemyslaw Biecek

120

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27 Aug 2025