Metrics for Explainable AI: Challenges and Prospects | Paper Citation Record

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Explainers' Mental Representations of Explainees' Needs in Everyday Explanations cites this paper.

Explainers' Mental Representations of Explainees' Needs in Everyday Explanations Metrics for Explainable AI: Challenges and Prospects

Reference 21

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Let people fail! Exploring the influence of explainable virtual and robotic agents in learning-by-doing tasks cites this paper.

Let people fail! Exploring the influence of explainable virtual and robotic agents in learning-by-doing tasks Metrics for Explainable AI: Challenges and Prospects

Reference 27

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A Brief Summary of Explanatory Virtues cites this paper.

A Brief Summary of Explanatory Virtues Metrics for Explainable AI: Challenges and Prospects

Reference 11

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Explainable Artificial Intelligence for Medical Applications: A Review cites this paper.

Explainable Artificial Intelligence for Medical Applications: A Review Metrics for Explainable AI: Challenges and Prospects

Reference 69

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Dynamic Prompt Middleware: Contextual Prompt Refinement Controls for Comprehension Tasks cites this paper.

Dynamic Prompt Middleware: Contextual Prompt Refinement Controls for Comprehension Tasks Metrics for Explainable AI: Challenges and Prospects

Reference 29

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Meta-evaluating stability measures: MAX-Senstivity & AVG-Sensitivity cites this paper.

Meta-evaluating stability measures: MAX-Senstivity & AVG-Sensitivity Metrics for Explainable AI: Challenges and Prospects

Reference 17

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Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations cites this paper.

Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations Metrics for Explainable AI: Challenges and Prospects

Reference 3

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Explanatory Debiasing: Involving Domain Experts in the Data Generation Process to Mitigate Representation Bias in AI Systems cites this paper.

Explanatory Debiasing: Involving Domain Experts in the Data Generation Process to Mitigate Representation Bias in AI Systems Metrics for Explainable AI: Challenges and Prospects

Reference 32

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Co-Activation Graph Analysis of Safety-Verified and Explainable Deep Reinforcement Learning Policies cites this paper.

Co-Activation Graph Analysis of Safety-Verified and Explainable Deep Reinforcement Learning Policies Metrics for Explainable AI: Challenges and Prospects

Reference 22

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Towards Counterfactual and Contrastive Explainability and Transparency of DCNN Image Classifiers cites this paper.

Towards Counterfactual and Contrastive Explainability and Transparency of DCNN Image Classifiers Metrics for Explainable AI: Challenges and Prospects

Reference 2018

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Explaining Facial Expression Recognition cites this paper.

Explaining Facial Expression Recognition Metrics for Explainable AI: Challenges and Prospects

Reference 19

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Objective Metrics for Human-Subjects Evaluation in Explainable Reinforcement Learning cites this paper.

Objective Metrics for Human-Subjects Evaluation in Explainable Reinforcement Learning Metrics for Explainable AI: Challenges and Prospects

Reference 11

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tAIfa: Enhancing Team Effectiveness and Cohesion with AI-Generated Automated Feedback cites this paper.

tAIfa: Enhancing Team Effectiveness and Cohesion with AI-Generated Automated Feedback Metrics for Explainable AI: Challenges and Prospects

Reference 47

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Explainability for Embedding AI: Aspirations and Actuality cites this paper.

Explainability for Embedding AI: Aspirations and Actuality Metrics for Explainable AI: Challenges and Prospects

Reference 15

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) cites this paper.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Metrics for Explainable AI: Challenges and Prospects

Reference 35

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Improving Human-Autonomous Vehicle Interaction in Complex Systems cites this paper.

Improving Human-Autonomous Vehicle Interaction in Complex Systems Metrics for Explainable AI: Challenges and Prospects

Reference 88

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DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning cites this paper.

DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning Metrics for Explainable AI: Challenges and Prospects

Reference 14

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Gap the (Theory of) Mind: Sharing Beliefs About Teammates' Goals Boosts Collaboration Perception, Not Performance cites this paper.

Gap the (Theory of) Mind: Sharing Beliefs About Teammates' Goals Boosts Collaboration Perception, Not Performance Metrics for Explainable AI: Challenges and Prospects

Reference 19

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KERAIA: An Adaptive and Explainable Framework for Dynamic Knowledge Representation and Reasoning cites this paper.

KERAIA: An Adaptive and Explainable Framework for Dynamic Knowledge Representation and Reasoning Metrics for Explainable AI: Challenges and Prospects

Reference 44

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J1: Exploring Simple Test-Time Scaling for LLM-as-a-Judge cites this paper.

J1: Exploring Simple Test-Time Scaling for LLM-as-a-Judge Metrics for Explainable AI: Challenges and Prospects

Reference 15

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Understanding Mental Models of Generative Conversational Search and The Effect of Interface Transparency cites this paper.

Understanding Mental Models of Generative Conversational Search and The Effect of Interface Transparency Metrics for Explainable AI: Challenges and Prospects

Reference 23

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Why is My Route Different Today? An Algorithm for Explaining Route Selection cites this paper.

Why is My Route Different Today? An Algorithm for Explaining Route Selection Metrics for Explainable AI: Challenges and Prospects

Reference 13

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Video-Mediated Emotion Disclosure: Expressions of Fear, Sadness, and Joy by People with Schizophrenia on YouTube cites this paper.

Video-Mediated Emotion Disclosure: Expressions of Fear, Sadness, and Joy by People with Schizophrenia on YouTube Metrics for Explainable AI: Challenges and Prospects

Reference 1

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A Systematic Review of User-Centred Evaluation of Explainable AI in Healthcare cites this paper.

A Systematic Review of User-Centred Evaluation of Explainable AI in Healthcare Metrics for Explainable AI: Challenges and Prospects

Reference 141

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Importance of User Control in Data-Centric Steering for Healthcare Experts cites this paper.

Importance of User Control in Data-Centric Steering for Healthcare Experts Metrics for Explainable AI: Challenges and Prospects

Reference 24

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Human-Centered Explainability in Interactive Information Systems: A Survey cites this paper.

Human-Centered Explainability in Interactive Information Systems: A Survey Metrics for Explainable AI: Challenges and Prospects

Reference 56

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Visual-Conversational Interface for Evidence-Based Explanation of Diabetes Risk Prediction cites this paper.

Visual-Conversational Interface for Evidence-Based Explanation of Diabetes Risk Prediction Metrics for Explainable AI: Challenges and Prospects

Reference 22

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Feature-Guided Neighbor Selection for Non-Expert Evaluation of Model Predictions cites this paper.

Feature-Guided Neighbor Selection for Non-Expert Evaluation of Model Predictions Metrics for Explainable AI: Challenges and Prospects

Reference 10

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ClarifAI: Enhancing AI Interpretability and Transparency through Case-Based Reasoning and Ontology-Driven Approach for Improved Decision-Making cites this paper.

ClarifAI: Enhancing AI Interpretability and Transparency through Case-Based Reasoning and Ontology-Driven Approach for Improved Decision-Making Metrics for Explainable AI: Challenges and Prospects

Reference 8

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A Survey of Explainable Reinforcement Learning: Targets, Methods and Needs cites this paper.

A Survey of Explainable Reinforcement Learning: Targets, Methods and Needs Metrics for Explainable AI: Challenges and Prospects

Reference 158

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MetaExplainer: A Framework to Generate Multi-Type User-Centered Explanations for AI Systems cites this paper.

MetaExplainer: A Framework to Generate Multi-Type User-Centered Explanations for AI Systems Metrics for Explainable AI: Challenges and Prospects

Reference 15

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Towards Transparent Ethical AI: A Roadmap for Trustworthy Robotic Systems cites this paper.

Towards Transparent Ethical AI: A Roadmap for Trustworthy Robotic Systems Metrics for Explainable AI: Challenges and Prospects

Reference 32

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Explainable Knowledge Graph Retrieval-Augmented Generation (KG-RAG) with KG-SMILE cites this paper.

Explainable Knowledge Graph Retrieval-Augmented Generation (KG-RAG) with KG-SMILE Metrics for Explainable AI: Challenges and Prospects

Reference 28

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Minimal Data, Maximum Clarity: A Heuristic for Explaining Optimization cites this paper.

Minimal Data, Maximum Clarity: A Heuristic for Explaining Optimization Metrics for Explainable AI: Challenges and Prospects

Reference 49

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Uncertainty Awareness and Trust in Explainable AI- On Trust Calibration using Local and Global Explanations cites this paper.

Uncertainty Awareness and Trust in Explainable AI- On Trust Calibration using Local and Global Explanations Metrics for Explainable AI: Challenges and Prospects

Reference 14

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Evaluation of AI Ethics Tools in Language Models: A Developers' Perspective Case Study cites this paper.

Evaluation of AI Ethics Tools in Language Models: A Developers' Perspective Case Study Metrics for Explainable AI: Challenges and Prospects

Reference 223

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Evaluation of AI Ethics Tools in Language Models: A Developers' Perspective Case Study cites this paper.

Evaluation of AI Ethics Tools in Language Models: A Developers' Perspective Case Study Metrics for Explainable AI: Challenges and Prospects

Reference 219

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Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions cites this paper.

Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions Metrics for Explainable AI: Challenges and Prospects

Reference 45

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Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions cites this paper.

Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions Metrics for Explainable AI: Challenges and Prospects

Reference 43

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Supporting Calibrated Reliance in Human-AI Collaboration: Different Strategies for Different Tasks cites this paper.

Supporting Calibrated Reliance in Human-AI Collaboration: Different Strategies for Different Tasks Metrics for Explainable AI: Challenges and Prospects

Reference 6

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Improving Explanations: Applying the Feature Understandability Scale for Cost-Sensitive Feature Selection cites this paper.

Improving Explanations: Applying the Feature Understandability Scale for Cost-Sensitive Feature Selection Metrics for Explainable AI: Challenges and Prospects

Reference 28

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Confidence Without Competence in AI-Assisted Knowledge Work cites this paper.

Confidence Without Competence in AI-Assisted Knowledge Work Metrics for Explainable AI: Challenges and Prospects

Reference 30

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Observation ebe3ca67-d60d-40a9-8b7d-4b261e5c32e1 · inbound

Reheat Nachos for Dinner? Evaluating AI Support for Cross-Cultural Communication of Neologisms cites this paper.

Reheat Nachos for Dinner? Evaluating AI Support for Cross-Cultural Communication of Neologisms Metrics for Explainable AI: Challenges and Prospects

Reference 2

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Knowledge Affordances for Hybrid Human-AI Information Seeking cites this paper.

Knowledge Affordances for Hybrid Human-AI Information Seeking Metrics for Explainable AI: Challenges and Prospects

Reference 27

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Observation 18dece7c-c47e-489c-be74-c23e843823f8 · inbound

What if AI systems weren't chatbots? cites this paper.

What if AI systems weren't chatbots? Metrics for Explainable AI: Challenges and Prospects

Reference 73

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Observation 39a2aa16-8fe0-4b94-b708-16daefb5cf44 · inbound

Interpretability Can Be Actionable cites this paper.

Interpretability Can Be Actionable Metrics for Explainable AI: Challenges and Prospects

Reference 146

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Observation 5bce20f3-5f74-4781-900a-78b2208f367d · inbound

What Should Explanations Contain? A Human-Centered Explanation Content Model for Local, Post-Hoc Explanations cites this paper.

What Should Explanations Contain? A Human-Centered Explanation Content Model for Local, Post-Hoc Explanations Metrics for Explainable AI: Challenges and Prospects

Reference 66

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Observation fbb67aa3-8c5d-4810-bd52-9b07d4589b00 · inbound

INSIGHTS: Demonstration-Based Summaries of Time Series Predictors cites this paper.

INSIGHTS: Demonstration-Based Summaries of Time Series Predictors Metrics for Explainable AI: Challenges and Prospects

Reference 12

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Observation 3df5d419-0886-4570-bb0d-baca36296c47 · inbound

Explainable Optimization: A Call for Interdisciplinary Action cites this paper.

Explainable Optimization: A Call for Interdisciplinary Action Metrics for Explainable AI: Challenges and Prospects

Reference 5

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Observation 78b38bcd-01d6-414f-b797-9d0e11c41bc5 · inbound

Mod-Guide: An LLM-based Content Moderation Feedback System to Address Insensitive Speech toward Indigenous Ethnic and Religious Minority Communities cites this paper.

Mod-Guide: An LLM-based Content Moderation Feedback System to Address Insensitive Speech toward Indigenous Ethnic and Religious Minority Communities Metrics for Explainable AI: Challenges and Prospects

Reference 42

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Observation ede5663c-a624-4d17-b9cb-b8143d230883 · inbound

Exploring the Interaction of Explanation Styles, Context, and Trust of AI Privacy Redaction in AI-mediated Interactions cites this paper.

Exploring the Interaction of Explanation Styles, Context, and Trust of AI Privacy Redaction in AI-mediated Interactions Metrics for Explainable AI: Challenges and Prospects

Reference 16

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Observation 5bbccce2-e049-4cc7-94cb-4034bc921422 · inbound

"Trust Junk" Leads to Unjustified Support for Highly Discriminatory Predictive Models cites this paper.

"Trust Junk" Leads to Unjustified Support for Highly Discriminatory Predictive Models Metrics for Explainable AI: Challenges and Prospects

Reference 16

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SocialFiVis: A Visual Analytics Sandbox for LLM-Grounded Multi-Agent Simulation in Social Finance cites this paper.

SocialFiVis: A Visual Analytics Sandbox for LLM-Grounded Multi-Agent Simulation in Social Finance Metrics for Explainable AI: Challenges and Prospects

Reference 32

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