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DARPA 's explainable AI ( XAI ) program: A retrospective
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/ail2.36openalex-snapshot
From “no clear winner” to an effective Explainable Artificial Intelligence process: An empirical journey
inferredcites →https://doi.org/10.1002/ail2.37openalex-snapshot
Abstraction, validation , and generalization for explainable artificial intelligence
inferredcites →https://doi.org/10.1002/ail2.39openalex-snapshot
Explainable neural computation via stack neural module networks
inferredcites →https://doi.org/10.1002/ail2.41openalex-snapshot
Explainable, interactive c ontent‐based image retrieval
inferredcites →https://doi.org/10.1002/ail2.42openalex-snapshot
User‐guided global explanations for deep image recognition: A user study
inferredcites →https://doi.org/10.1002/ail2.43openalex-snapshot
Patching interpretable And‐Or‐Graph knowledge representation using augmented reality
inferredcites →https://doi.org/10.1002/ail2.44openalex-snapshot
Remembering for the right reasons: Explanations reduce catastrophic forgetting
inferredcites →https://doi.org/10.1002/ail2.45openalex-snapshot
Measuring and characterizing generalization in deep reinforcement learning
inferredcites →https://doi.org/10.1002/ail2.47openalex-snapshot
Improving users' mental model with attention‐directed counterfactual edits
inferredcites →https://doi.org/10.1002/ail2.48openalex-snapshot
Neural response time analysis: Explainable artificial intelligence using only a stopwatch
inferredcites →https://doi.org/10.1002/ail2.49openalex-snapshot
How level of explanation detail affects human performance in interpretable intelligent systems: A study on explainable fact checking
inferredcites →https://doi.org/10.1002/ail2.51openalex-snapshot
Generating and evaluating explanations of attended and error‐inducing input regions for VQA models
inferredcites →https://doi.org/10.1002/ail2.53openalex-snapshot
Methods and standards for research on explainable artificial intelligence: Lessons from intelligent tutoring systems
inferredcites →https://doi.org/10.1002/ail2.54openalex-snapshot
Explaining autonomous drones: An XAI journey
inferredcites →https://doi.org/10.1002/ail2.55openalex-snapshot
Generating visual explanations with natural language
inferredcites →https://doi.org/10.1002/ail2.56openalex-snapshot
Toward explainable and advisable model for self‐driving cars
inferredcites →https://doi.org/10.1002/ail2.57openalex-snapshot
Objective criteria for explanations of machine learning models
inferredcites →https://doi.org/10.1002/ail2.58openalex-snapshot
Towards structured NLP interpretation via graph explainers
inferredcites →https://doi.org/10.1002/ail2.59openalex-snapshot
Explainable activity recognition in videos: Lessons learned
inferredcites →https://doi.org/10.1002/ail2.60openalex-snapshot
Reframing explanation as an interactive medium: The EQUAS (Explainable QUestion Answering System) project
inferredcites →https://doi.org/10.1007/978-3-319-10590-1_53openalex-snapshot
Visualizing and Understanding Convolutional Networks
inferredcites →https://doi.org/10.1016/0025-5564(75)90047-4openalex-snapshot
A model of inexact reasoning in medicine
inferredcites →https://doi.org/10.1016/j.isci.2021.103581openalex-snapshot
CX-ToM: Counterfactual explanations with theory-of-mind for enhancing human trust in image recognition models
inferredcites →https://doi.org/10.1017/s026988890200019xopenalex-snapshot
A review of explanation methods for Bayesian networks
inferredcites →https://doi.org/10.1109/64.87686openalex-snapshot
Explanations in knowledge systems: design for explainable expert systems
inferredcites →https://doi.org/10.1109/chase52884.2021.00022openalex-snapshot
Doing Remote Controlled Studies with Humans: Tales from the COVID Trenches
inferredcites →https://doi.org/10.1117/12.2585967openalex-snapshot
Explainable AI for medical imaging: explaining pneumothorax diagnoses with Bayesian teaching
inferredcites →https://doi.org/10.1126/science.aaa8415openalex-snapshot
Machine learning: Trends, perspectives, and prospects
inferredcites →https://doi.org/10.1126/scirobotics.aay4663openalex-snapshot
A tale of two explanations: Enhancing human trust by explaining robot behavior
inferredcites →https://doi.org/10.1145/2678025.2701399openalex-snapshot
Principles of Explanatory Debugging to Personalize Interactive Machine Learning
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1145/3377325.3377525openalex-snapshot
Keeping it "organized and logical"
inferredcites →https://doi.org/10.1214/15-aoas848openalex-snapshot
Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model
inferredcites →https://doi.org/10.1609/aaai.v34i03.5643openalex-snapshot
CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines
inferredcites →https://doi.org/10.1609/aimag.v40i2.2850openalex-snapshot
DARPA's Explainable Artificial Intelligence Program
inferredcites →https://doi.org/10.3847/1538-4357/abd9bfopenalex-snapshot
Exploring the Galactic Anticenter Substructure with LAMOST and Gaia DR2
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Cognitive Science of Augmented Intelligence
inferred← citeshttps://doi.org/10.1111/mice.13338openalex-snapshot
Data‐driven model for seismic assessment, design, and retrofit of structures using explainable artificial intelligence
inferred← citeshttps://doi.org/10.1134/s1054661824700263openalex-snapshot
On the Problem of Explaining the Results of Intelligent Data Analysis
inferred← citeshttps://doi.org/10.1142/s0218213026400014openalex-snapshot
Measuring Interpretability: A Systematic Literature Review of Interpretability Measures in Artificial Intelligence
inferred← citeshttps://doi.org/10.1145/3544549.3585713openalex-snapshot
Trust and Reliance in Consensus-Based Explanations from an Anti-Misinformation Agent
inferred← citeshttps://doi.org/10.1145/3613904.3642934openalex-snapshot
Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of Human and Machine Explanations for Large Language Models
inferred← citeshttps://doi.org/10.1145/3623809.3623834openalex-snapshot
Experimental Investigation of Human Acceptance of AI Suggestions with Heatmap and Pointing-based XAI
inferred← citeshttps://doi.org/10.1145/3699682.3728343openalex-snapshot
“Even explanations will not help in trusting [this] fundamentally biased system”: A Predictive Policing Case-Study
inferred← citeshttps://doi.org/10.1145/3728637openalex-snapshot
Ante-Hoc Methods for Interpretable Deep Models: A Survey
inferred← citeshttps://doi.org/10.1145/3737445openalex-snapshot
A Functionally-Grounded Benchmark Framework for XAI Methods: Insights and Foundations from a Systematic Literature Review
inferred← citeshttps://doi.org/10.1145/3772363.3798549openalex-snapshot
Bounding Boxes in Practice: Design and Early Evaluation of a Video-Based PPE Compliance Monitoring Application for Time-Critical Care
inferred← citeshttps://doi.org/10.1145/3779657.3779691openalex-snapshot
ContextualSHAP : Enhancing SHAP Explanations Through Contextual Language Generation
inferred← citeshttps://doi.org/10.1145/3805689.3812231openalex-snapshot
Reliance-Aware Design of Interactive Explainable User Interfaces
inferred← citeshttps://doi.org/10.1177/14759217251382151openalex-snapshot
CTNet: an interpretable convolutional neural network for bearing fault diagnosis
inferred← citeshttps://doi.org/10.1177/27556662261475469openalex-snapshot
The Most Important Predictors of Father Involvement Among Politically Conservative Men: An Explainable Artificial Intelligence (XAI) Approach
inferred← citeshttps://doi.org/10.14573/altex.2309191openalex-snapshot
ToxAIcology - The evolving role of artificial intelligence in advancing toxicology and modernizing regulatory science
inferred← citeshttps://doi.org/10.1515/icom-2025-0018openalex-snapshot
What kind of technology transparency do users appreciate? Comparison of textual and graphic cues in app design
inferred← citeshttps://doi.org/10.17587/it.32.185-194openalex-snapshot
From the unknown to transparency: a review of information technologies in explainable AI
inferred← citeshttps://doi.org/10.20944/preprints202109.0034.v3openalex-snapshot
Abnormality Detection and Failure Prediction Using Explainable Bayesian Deep Learning: Methodology and Case Study of Real-World Gas Turbine Anomalies
inferred← citeshttps://doi.org/10.20998/2079-0023.2023.01.11openalex-snapshot
THE CONCEPTUAL MENTAL MODEL OF EXPLANATION IN AN ARTIFICIAL INTELLIGENCE SYSTEM
inferred← citeshttps://doi.org/10.20998/2079-0023.2023.02.14openalex-snapshot
A METHOD FOR EVALUATING EXPLANATIONS IN AN ARTIFICIAL INTELLIGENCE SYSTEM USING POSSIBILITY THEORY
inferred← citeshttps://doi.org/10.20998/2079-0023.2024.01.15openalex-snapshot
EXTERNALIZATION OF TACIT KNOWLEDGE IN THE MENTAL MODEL OF A USER OF AN ARTIFICIAL INTELLIGENCE SYSTEM
inferred← citeshttps://doi.org/10.2172/1986455openalex-snapshot
Advanced Research Directions on AI for Science, Energy, and Security: Report on Summer 2022 Workshops
inferred← citeshttps://doi.org/10.2196/64617openalex-snapshot
An Interpretable Model With Probabilistic Integrated Scoring for Mental Health Treatment Prediction: Design Study
inferred← citeshttps://doi.org/10.2514/6.2024-1463openalex-snapshot
Certification of Reinforcement Learning Applications for Air Transport Operations Based on Criticality and Autonomy
inferred← citeshttps://doi.org/10.2514/6.2024-2582openalex-snapshot
Probabilistic Learning of Operator Interest in Surveillance Environments for Online Track Characterization
inferred← citeshttps://doi.org/10.25728/ubs.2024.110.1openalex-snapshot
Анализ эффективности интеллектуализации управления воздушными судами на уровне авиатранспортной системы
inferred← citeshttps://doi.org/10.3103/s0005105525701122openalex-snapshot
On Understanding the Terms “Promising AI Methods” and “Promising AI Technologies”
inferred← citeshttps://doi.org/10.3103/s1068798x25703307openalex-snapshot
Intelligent Data Analysis Techniques for Infrastructure-Oriented Decision Support Systems
inferred← citeshttps://doi.org/10.32609/0042-8736-2025-10-131-154openalex-snapshot
Machine learning methods in macroeconomic forecasting: Preliminary results
inferred← citeshttps://doi.org/10.3384/9789181181296openalex-snapshot
Efficient Formal Reasoning about the Trustworthiness of Tree Ensembles
inferred← citeshttps://doi.org/10.3389/fcomp.2024.1321238openalex-snapshot
XAI Human-Machine collaboration applied to network security
inferred← citeshttps://doi.org/10.3389/fpubh.2026.1921273openalex-snapshot
Towards the One Exposome: harnessing artificial intelligence and digital health technologies across One Health toxicology, new approach methodologies, and environmental public health
inferred← citeshttps://doi.org/10.3389/frai.2023.1203546openalex-snapshot
Explainable deep learning in plant phenotyping
inferred← citeshttps://doi.org/10.3390/aerospace11060415openalex-snapshot
Towards Global Explainability of Artificial Intelligence Agent Tactics in Close Air Combat
inferred← citeshttps://doi.org/10.3390/aerospace11121055openalex-snapshot
Autonomous Maneuvering Decision-Making Algorithm for Unmanned Aerial Vehicles Based on Node Clustering and Deep Deterministic Policy Gradient
inferred← citeshttps://doi.org/10.3390/app132312608openalex-snapshot
Explainability of Automated Fact Verification Systems: A Comprehensive Review
inferred← citeshttps://doi.org/10.3390/app14020496openalex-snapshot
Making Sense of Machine Learning: A Review of Interpretation Techniques and Their Applications
inferred← citeshttps://doi.org/10.3390/app15041970openalex-snapshot
CARAG: A Context-Aware Retrieval Framework for Fact Verification, Integrating Local and Global Perspectives of Explainable AI
inferred← citeshttps://doi.org/10.3390/bioengineering13010111openalex-snapshot
Evaluating Explainability: A Framework for Systematic Assessment of Explainable AI Features in Medical Imaging
inferred← citeshttps://doi.org/10.3390/biomedinformatics4040115openalex-snapshot
Part-Prototype Models in Medical Imaging: Applications and Current Challenges
inferred← citeshttps://doi.org/10.3390/biomimetics11030206openalex-snapshot
A Trustable Spine Abnormalities Classification System Using ResNet50 and VGG16 Supported by Explainable Artificial Intelligence
inferred← citeshttps://doi.org/10.3390/electronics13193806openalex-snapshot
Literature Review of Explainable Tabular Data Analysis
inferred← citeshttps://doi.org/10.3390/healthcare13151829openalex-snapshot
A Comprehensive Comparison and Evaluation of AI-Powered Healthcare Mobile Applications’ Usability
inferred← citeshttps://doi.org/10.3390/ijerph19031510openalex-snapshot
Health Technology Assessment for In Silico Medicine: Social, Ethical and Legal Aspects
inferred← citeshttps://doi.org/10.3390/ijerph19159447openalex-snapshot
Using Explainable Artificial Intelligence to Discover Interactions in an Ecological Model for Obesity
inferred← citeshttps://doi.org/10.3390/ijerph192013691openalex-snapshot
Characteristics of Artificial Intelligence Clinical Trials in the Field of Healthcare: A Cross-Sectional Study on ClinicalTrials.gov
inferred← citeshttps://doi.org/10.3390/math10040554openalex-snapshot
Abnormality Detection and Failure Prediction Using Explainable Bayesian Deep Learning: Methodology and Case Study with Industrial Data
inferred← citeshttps://doi.org/10.3390/math12233727openalex-snapshot
Enhancing Explainable Artificial Intelligence: Using Adaptive Feature Weight Genetic Explanation (AFWGE) with Pearson Correlation to Identify Crucial Feature Groups
inferred← citeshttps://doi.org/10.36227/techrxiv.24249784openalex-snapshot
Synthetic Neural Network: Weight Divergence Optimizer
inferred← citeshttps://doi.org/10.36227/techrxiv.24249784.v1openalex-snapshot
Synthetic Neural Network: Weight Divergence Optimizer
inferred← citeshttps://doi.org/10.4018/978-1-6684-7684-0.ch002openalex-snapshot
The Explainable Model to Multi-Objective Reinforcement Learning Toward an Autonomous Smart System
inferred← citeshttps://doi.org/10.4018/979-8-3693-9811-1.ch010openalex-snapshot
Managing Output Risks From Imperfect LLMS
inferred← citeshttps://doi.org/10.4204/eptcs.416.39openalex-snapshot
Autonomous Task Completion Based on Goal-directed Answer Set Programming
inferred← citeshttps://doi.org/10.4271/2026-01-0788openalex-snapshot
Stakeholder-Oriented Explainability Requirements for Advanced Driver Assistance Systems and Automated Driving Systems: A Structured Analysis
inferred← citeshttps://doi.org/10.5406/19398298.135.4.01openalex-snapshot
Psychology and AI at a Crossroads: How Might Complex Systems Explain Themselves?
inferred← citeshttps://doi.org/10.5753/sbrc.2026.19851openalex-snapshot
Auditable Flood Attack Detection using Isolation Forest with Decision Predicate Graphs
inferred← citeshttps://doi.org/10.5772/intechopen.102324openalex-snapshot
Introductory Chapter: Towards 2050 NZE Pathway - Electric Transportation
inferred← citeshttps://doi.org/10.5772/intechopen.95662openalex-snapshot
New Perspectives on Electric Vehicles
inferred← citeshttps://doi.org/10.60022/sis.2.(02).2openalex-snapshot
THE IMPACT OF ARTIFICIAL INTELLIGENCE ON THE SMARTIZATION OF ENTERPRISES
inferred← citeshttps://doi.org/10.62056/a0wahee-3openalex-snapshot
I Know What Your Layers Did: Layer-wise Explainability of Deep Learning Side-channel Analysis
inferred← citeshttps://doi.org/10.62056/a69qxruc2openalex-snapshot
Survey: Six Years of Neural Differential Cryptanalysis
inferred← citeshttps://doi.org/10.62411/faith.3048-3719-58openalex-snapshot
Exploring Explainability in Multi-Category Electronic Markets: A Comparison of Machine Learning and Deep Learning Approaches
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