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Toward Trustworthy Artificial Intelligence (TAI) in the Context of Explainability and Robustness
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Explainable artificial intelligence: an analytical review
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The Nature of Statistical Learning Theory
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New Frontiers in Explainable AI: Understanding the GI to Interpret the GO
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Requirements for Trustworthy Artificial Intelligence – A Review
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Principles of Explainable Artificial Intelligence
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Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition Under Occlusion
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Trustworthy artificial intelligence
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Adversarial Robustness for Machine Learning
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Robustness of AI-based prognostic and systems health management
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Artificial intelligence in drug discovery and development
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Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
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Transfer Learning for Drug Discovery
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Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
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Advances, challenges and opportunities in creating data for trustworthy AI
inferredcites →https://doi.org/10.1063/pt.3.5379openalex-snapshot
Developing trustworthy AI for weather and climate
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inferredcites →https://doi.org/10.1109/access.2020.2983300openalex-snapshot
A Secure AI-Driven Architecture for Automated Insurance Systems: Fraud Detection and Risk Measurement
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A Review on Explainability in Multimodal Deep Neural Nets
inferredcites →https://doi.org/10.1109/access.2021.3116481openalex-snapshot
Explainable Artificial Intelligence for Tabular Data: A Survey
inferredcites →https://doi.org/10.1109/conit51480.2021.9498476openalex-snapshot
Face Recognition Algorithm based on Traditional and Artificial Intelligence: A Systematic Review
inferredcites →https://doi.org/10.1109/cvpr.1993.341010openalex-snapshot
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.354openalex-snapshot
Network Dissection: Quantifying Interpretability of Deep Visual Representations
inferredcites →https://doi.org/10.1109/cvprw.2014.131openalex-snapshot
CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
inferredcites →https://doi.org/10.1109/cvprw50498.2020.00020openalex-snapshot
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/dcc.2018.00022openalex-snapshot
Protecting JPEG Images Against Adversarial Attacks
inferredcites →https://doi.org/10.1109/dsaa.2018.00018openalex-snapshot
Explaining Explanations: An Overview of Interpretability of Machine Learning
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Trustworthiness of Artificial Intelligence
inferredcites →https://doi.org/10.1109/ijcnn48605.2020.9206626openalex-snapshot
Eigen-CAM: Class Activation Map using Principal Components
inferredcites →https://doi.org/10.1109/is.2006.348467openalex-snapshot
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XAI Evaluation: Evaluating Black-Box Model Explanations for Prediction
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Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks
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Towards Evaluating the Robustness of Neural Networks
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XAI—Explainable artificial intelligence
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Actionable Recourse in Linear Classification
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Proceedings of the 3rd International Workshop on Data Management for End-to-End Machine Learning
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Data Cleaning for Accurate, Fair, and Robust Models
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Evaluating Robustness of AI Models against Adversarial Attacks
inferredcites →https://doi.org/10.1145/3447548.3470806openalex-snapshot
Machine Learning Explainability and Robustness
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A Review of Taxonomies of Explainable Artificial Intelligence (XAI) Methods
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Trustworthy AI: From Principles to Practices
inferredcites →https://doi.org/10.1155/2021/6634811openalex-snapshot
Explainable Artificial Intelligence (XAI) to Enhance Trust Management in Intrusion Detection Systems Using Decision Tree Model
inferredcites →https://doi.org/10.1175/bams-d-21-0020.1openalex-snapshot
NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES)
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Prototype selection for interpretable classification
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Interactive Visualization and Manipulation of Attention-based Neural Machine Translation
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Pathologies of Neural Models Make Interpretations Difficult
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AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models
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Feature Engineering (FE) Tools and Techniques for Better Classification Performance
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Trustworthy Artificial Intelligence in Education: Pitfalls and Pathways
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Promises and Challenges
inferredcites →https://doi.org/10.23919/mipro.2018.8400040openalex-snapshot
Explainable artificial intelligence: A survey
inferredcites →https://doi.org/10.2471/blt.19.237289openalex-snapshot
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Recent Advances in Adversarial Training for Adversarial Robustness
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Designing Futuristic Telemedicine Using Artificial Intelligence and Robotics in the COVID-19 Era
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Machine Learning Interpretability: A Survey on Methods and Metrics
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XAIR: A Systematic Metareview of Explainable AI (XAI) Aligned to the Software Development Process
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Pitfalls and pathways for Trustworthy Artificial Intelligence in education
inferredcites →https://doi.org/10.48550/arxiv.2004.13912openalex-snapshot
Neural Additive Models: Interpretable Machine Learning with Neural Nets
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How to Explain Individual Classification Decisions
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A Survey on Distributed Reinforcement Learning
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.1007/978-3-031-96522-7_6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-032-00630-1_18openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-032-01429-0_46openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-032-18786-4_36openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-032-23883-2_24openalex-snapshot
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Research on Evaluation of Generalization Capability for AI Models Based on Supervised Learning Classification and Regression Algorithms
inferred← citeshttps://doi.org/10.1145/3834857openalex-snapshot
A Systematic Review of Artistic Human-AI Co-Creative Systems and Interaction Design
inferred← citeshttps://doi.org/10.1515/libri-2025-0143openalex-snapshot
Large Language Model Literacy Framework for Librarians: Leading Information Stewardship in the Generative Artificial Intelligence Era
inferred← citeshttps://doi.org/10.2139/ssrn.5353434openalex-snapshot
A Federated Causal Gnn Approach for Fault Diagnosis of Metro Apu with Privacy Preservation
inferred← citeshttps://doi.org/10.22399/ijcesen.3757openalex-snapshot
AI-Driven Data Governance for AML/KYC in Credit Card Issuance: A Framework to Reduce Regulatory Consent Orders
inferred← citeshttps://doi.org/10.23919/apcc64555.2025.11279827openalex-snapshot
Trustworthy AI in Spatial Crowdsourcing: Mitigating Bias and Detecting Outliers for Robust Models
inferred← citeshttps://doi.org/10.23919/ifipnetworking70592.2026.11579230openalex-snapshot
A Unified Framework for Trustworthy Machine Learning for Intrusion Detection Systems
inferred← citeshttps://doi.org/10.2478/picbe-2025-0017openalex-snapshot
From Insights to Trust: A Review of AI-Driven Business Analytics Literature
inferred← citeshttps://doi.org/10.29333/ejmste/19397openalex-snapshot
Siri’ Na Pacce-based virtual reality STEM projects in science learning: Environmental knowledge, ecological awareness, and environmental care attitudes
inferred← citeshttps://doi.org/10.32431/kace.2025.28.12.001openalex-snapshot
The Impact of Prompt Formats on the Robustness of LLMs
inferred← citeshttps://doi.org/10.3389/fcomp.2025.1639421openalex-snapshot
Using domain adaptation and transfer learning techniques to enhance performance across multiple datasets in COVID-19 detection
inferred← citeshttps://doi.org/10.3389/friot.2025.1658273openalex-snapshot
Securing the future: AI-driven cybersecurity in the age of autonomous IoT
inferred← citeshttps://doi.org/10.3390/ai6060123openalex-snapshot
Agentic AI Frameworks in SMMEs: A Systematic Literature Review of Ecosystemic Interconnected Agents
inferred← citeshttps://doi.org/10.3390/app152412934openalex-snapshot
A Survey of the Application of Explainable Artificial Intelligence in Biomedical Informatics
inferred← citeshttps://doi.org/10.3390/bdcc8110142openalex-snapshot
Defending Against AI Threats with a User-Centric Trustworthiness Assessment Framework
inferred← citeshttps://doi.org/10.3390/buildings15173133openalex-snapshot
Integrating Shapley Value and Least Core Attribution for Robust Explainable AI in Rent Prediction
inferred← citeshttps://doi.org/10.3390/cancers16213690openalex-snapshot
AI-Guided Cancer Therapy for Patients with Coexisting Migraines
inferred← citeshttps://doi.org/10.3390/electronics14132717openalex-snapshot
Evaluating Trustworthiness in AI: Risks, Metrics, and Applications Across Industries
inferred← citeshttps://doi.org/10.3390/electronics15143222openalex-snapshot
Explainable AI for Deep Visual Recognition: Evaluation, Methods, and Open Challenges
inferred← citeshttps://doi.org/10.3390/info17020212openalex-snapshot
Building Trust in AI: The Role of Technical Capacity, Social Risk, and Corporate Institutional Accountability
inferred← citeshttps://doi.org/10.3390/su16177724openalex-snapshot
Procurement of Artificial Intelligence Systems in UAE Public Sectors: An Interpretive Structural Modeling of Critical Success Factors
inferred← citeshttps://doi.org/10.3390/technologies14070386openalex-snapshot
Trustworthy Companion AI for Human-Aware Transition of Control: Motivation, Architecture, and Research Roadmap
inferred← citeshttps://doi.org/10.36227/techrxiv.172348990.01007128/v1openalex-snapshot
AI-Generated Videos and Deepfakes: A Technical Primer
inferred← citeshttps://doi.org/10.4018/979-8-2600-0413-5.ch007openalex-snapshot
Explainability in Autonomous Cyber Decision-Making
inferred← citeshttps://doi.org/10.4018/979-8-2600-1970-2.ch004openalex-snapshot
Adversarial Machine Learning and Robust Explainability
inferred← citeshttps://doi.org/10.4018/979-8-3373-7574-8.ch002openalex-snapshot
Role of Artificial Intelligence in Lifelong Learning for Personalized Education Using AI Agents, Generative AI, and Explainable AI
inferred← citeshttps://doi.org/10.4018/979-8-3693-6135-1.ch009openalex-snapshot
Future Trends in AI Security
inferred← citeshttps://doi.org/10.54097/taqbjh83openalex-snapshot
Risks of Discrimination Violence and Unlawful Actions in LLM-Driven Robots
inferred← citeshttps://doi.org/10.63601/resmpu.2024.v1.n2.e-2107openalex-snapshot
Princípios Internacionais de Inteligência Artificial
inferred← citeshttps://doi.org/10.7336/academicus.2026.33.01openalex-snapshot
Artificial Intelligence and Human Resource Management: A Counterfactual Analysis of Productivity
inferred← citeshttps://doi.org/10.7596/jebm.1588897openalex-snapshot
Generative Artificial Intelligence in Marketing: The Invisible Danger of AI Hallucinations
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