Transparent Artificial Intelligence AI systems facilitate understanding of the decision-making process and provide opportunities in various aspects of explaining AI models. This book provides up-to-date information on the latest advancements in the field of explainabl... Lees meer.
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Interpretable AI is a hands-on guide to interpretability techniques that open up the black box of AI. This practical guide simplifies cutting-edge research into transparent and explainable AI delivering practical methods you can easily implement with Python and open so... Lees meer.
Transportation typically entails crucial life-death choices delegating crucial decisions to an AI algorithm without any explanation poses a serious threat. Hence explainability and responsible AI is crucial in the context of intelligent transportation. In Intelligen... Lees meer.
This volume constitutes the papers of several workshops which were held in conjunction with the 6th International Workshop on Explainable and Transparent AI and Multi-Agent Systems EXTRAAMAS 2024 in Auckland New Zealand during May 6 10 2024. The 13 full papers pres... Lees meer.
This book constitutes revised selected papers from the AIME 2019 workshops KR4HC ProHealth 2019 the Workshop on Knowledge Representation for Health Care and Process-Oriented Information Systems in Health Care and TEAAM 2019 the Workshop on Transparent Explainable an... Lees meer.
This book constitutes the refereed post-conference proceedings of the 7th International Workshop on Explainable and Transparent AI and Multi-Agent Systems EXTRAAMAS 2025 held in Detroit MI USA during May 19-20 2025. The 12 full papers and 1 short paper included in... Lees meer.
This edited book gives insights into the deployment application management and benefits of explainable artificial intelligence XAI in medical decision support systems MDSS . The book discusses XAI-based analytics for patient-specific MDSS as well as related securi... Lees meer.
The book discusses Explainable XAI and Responsive Artificial Intelligence RAI for biomedical and healthcare applications. The book explains both positive as well as negative findings obtained by explainable AI techniques. The book discusses Explainable XAI and Re... Lees meer.
Explainable IoT Application. A Demystification is an in-depth guide that examines the intersection of the Internet of Things IoT with AI and Machine Learning focusing on the crucial need for transparency and interpretability in IoT systems. As IoT devices become mor... Lees meer.
This book explores current research trends in the context of the explainable artificial intelligence s impact on the digital sustainability trend while delving into case studies on education tourism marketing and finance. These trends are examined through various cas... Lees meer.
This book constitutes the proceedings of the First International Workshop on Explainable Transparent Autonomous Agents and Multi-Agent Systems EXTRAAMAS 2019 held in Montreal Canada in May 2019. The 12 revised and extended papers presented were carefully selected f... Lees meer.
This volume constitutes the papers of several workshops which were held in conjunction with the 6th International Workshop on Explainable and Transparent AI and Multi-Agent Systems EXTRAAMAS 2024 in Auckland New Zealand during May 6 10 2024. The 13 full papers pres... Lees meer.
This book focuses on an overview of the AI techniques their foundations their applications and remaining challenges and open problems. Many artificial intelligence AI techniques do not explain their recommendations. Providing natural-language explanations for numer... Lees meer.