Explainable Artificial Intelligence (XAI)
Description: This cluster of papers focuses on Explainable Artificial Intelligence (XAI) and the development of interpretable models, visual explanations, and responsible machine learning interpretability. It explores concepts, challenges, and opportunities in XAI, including the use of gradient-based localization, understanding deep neural networks, feature importance, and addressing black box models. The papers also discuss the responsibility and ethical considerations in AI.
Characteristic keywords: explainable AI, black-box models, explainable machine learning, counterfactual explanations, post-hoc explanation, feature attribution, model transparency, neural network interpretability, mechanistic interpretability, model-agnostic explanation, AI transparency, explanation generation, explanation fidelity, integrated gradients, visual explanations, black box problem, local explanations, natural language explanations, model explainability, explanation evaluation, layer-wise relevance propagation, deep learning interpretability, black-box interpretability, model explanation, explanation stability
Sibling topics: Quantum Information and Cryptography, Topic Modeling, Metaheuristic Optimization Algorithms Research, Logic, programming, and type systems, Natural Language Processing Techniques, Speech Recognition and Synthesis, Semantic Web and Ontologies, Cryptography and Data Security, Neural Networks and Applications, Multi-Agent Systems and Negotiation, Reinforcement Learning in Robotics, Advanced Clustering Algorithms Research, Advanced Software Engineering Methodologies, Sentiment Analysis and Opinion Mining, Quantum Computing Algorithms and Architecture, Target Tracking and Data Fusion in Sensor Networks, Privacy-Preserving Technologies in Data, Fuzzy Logic and Control Systems, AI in cancer detection, AI-based Problem Solving and Planning, Cryptographic Implementations and Security, Logic, Reasoning, and Knowledge, Coding theory and cryptography, Algorithms and Data Compression, Advanced Graph Neural Networks, Solar Radiation and Photovoltaics, Bayesian Modeling and Causal Inference, Domain Adaptation and Few-Shot Learning, Security and Verification in Computing, Anomaly Detection Techniques and Applications, Text and Document Classification Technologies, Artificial Intelligence in Games, Internet Traffic Analysis and Secure E-voting, Stochastic Gradient Optimization Techniques, Imbalanced Data Classification Techniques, Adversarial Robustness in Machine Learning, Bayesian Methods and Mixture Models, Intelligent Tutoring Systems and Adaptive Learning, Evolutionary Algorithms and Applications, Speech and dialogue systems, Machine Learning and Algorithms, AI in Service Interactions, Wireless Signal Modulation Classification, Geochemistry and Geologic Mapping, Educational Technology and Pedagogy, Hate Speech and Cyberbullying Detection, Authorship Attribution and Profiling, Machine Learning and Data Classification, Neural Networks and Reservoir Computing, Machine Learning and ELM, Data Stream Mining Techniques, Cognitive Science and Mapping, Gaussian Processes and Bayesian Inference, Seismology and Earthquake Studies, Cognitive Computing and Networks, Advanced Text Analysis Techniques, Data Analysis with R, Experience-Based Knowledge Management, Edcuational Technology Systems, AI and Multimedia in Education, Linguistic Studies and Language Acquisition, Text Readability and Simplification, Computational Physics and Python Applications, Computer Science and Engineering, Machine Learning in Healthcare, Advanced Computational Techniques and Applications, Law, AI, and Intellectual Property, Diverse Interdisciplinary Research Studies, Artificial Intelligence Applications, Mathematical Control Systems and Analysis, Organizational and Employee Performance, Intuitionistic Fuzzy Systems Applications, Educational Robotics and Engineering, Statistical and Computational Modeling, Psychiatry, Mental Health, Neuroscience, Advanced Technologies in Various Fields
Parent subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
OpenAlex ID: T12026