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AI explanations: Do they benefit everyone? A case study of image classifiers

https://doi.org/10.2139/ssrn.5527616
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Survey on Explainable AI: From Approaches, Limitations and Applications Aspects
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What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research
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Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
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Mastering the game of Go with deep neural networks and tree search
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Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
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Toward Performing Image Classification and Object Detection With Convolutional Neural Networks in Autonomous Driving Systems: A Survey
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Designing and Evaluating User Experience of an AI-Based Defense System
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Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
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Medical Image Analysis using Deep Convolutional Neural Networks: CNN Architectures and Transfer Learning
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Factual and Counterfactual Explanations for Black Box Decision Making
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Unraveling ML Models of Emotion With NOVA: Multi-Level Explainable AI for Non-Experts
inferredcites →https://doi.org/10.1109/tpami.2023.3331846openalex-snapshot
Towards Human-Centered Explainable AI: A Survey of User Studies for Model Explanations
inferredcites →https://doi.org/10.1111/bjet.12994openalex-snapshot
Understanding user trust in artificial intelligence‐based educational systems: Evidence from China
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Principles of Explanatory Debugging to Personalize Interactive Machine Learning
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ImageNet classification with deep convolutional neural networks
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A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems
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Who needs to know what, when?: Broadening the Explainable AI (XAI) Design Space by Looking at Explanations Across the AI Lifecycle
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FactSheets: Increasing trust in AI services through supplier's declarations of conformity
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Deep convolutional neural network based medical image classification for disease diagnosis
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The Deep Learning–Based Recommender System “Pubmender” for Choosing a Biomedical Publication Venue: Development and Validation Study
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Deep Learning-Based Pedestrian Detection in Autonomous Vehicles: Substantial Issues and Challenges
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Machine Learning Interpretability: A Survey on Methods and Metrics
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Explainable Artificial Intelligence for Human Decision Support System in the Medical Domain
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