Автор: Ismail Khalil; Teddy Mantoro Название: Trustworthy Ubiquitous Computing ISBN: 9462390576 ISBN-13(EAN): 9789462390577 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Trustworthy Ubiquitous Computing covers aspects of trust in ubiquitous computing environments.
Theories and Algorithms for Blockchain.- Performance Optimization of Blockchain.- Blockchain Security and Privacy.- Blockchain and Cloud Computing.- Blockchain and Internet of Things.- Blockchain and Mobile Edge Computing.- Blockchain and Smart Contracts.- Blockchain and Data Mining.- Blockchain Services and Applications.- Trustworthy System Development.
Описание: In today`s era of AI, accurately interpreting and communicating trustworthy, fair, and secure AI findings have become a crucial skill to master. This book bridges the gap between AI`s pitfalls and potential by helping you build the ability to leverage machine learning with Python to visualize and integrate AI.
Автор: Baker-Brunnbauer Название: Trustworthy Artificial Intelligence Implementation ISBN: 303118274X ISBN-13(EAN): 9783031182747 Издательство: Springer Рейтинг: Цена: 5309.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Rapidly developing Artificial Intelligence (AI) systems hold tremendous potential to change various domains and exert considerable influence on societies and organizations alike. More than merely a technical discipline, AI requires interaction between various professions. Based on the results of fundamental literature and empirical research, this book addresses the management’s awareness of the ethical and moral aspects of AI. It seeks to fill a literature gap and offer the management guidance on tackling Trustworthy AI Implementation (TAII) while also considering ethical dependencies within the company. The TAII Framework introduced here pursues a holistic approach to identifying systemic ethical relationships within the company ecosystem and considers corporate values, business models, and common goods aspects like the Sustainable Development Goals and the Universal Declaration of Human Rights. Further, it provides guidance on the implementation of AI ethics in organisations without requiring a deeper background in philosophy and considers the social impacts outside of the software and data engineering setting. Depending on the respective legal context or area of application, the TAII Framework can be adapted and used with a range of regulations and ethical principles. This book can serve as a case study or self-review for c-level managers and students who are interested in this field. It also offers valuable guidelines and perspectives for policymakers looking to pursue an ethical approach to AI.
Автор: Ferreira Название: Towards Trustworthy Artificial Intelligent Systems ISBN: 3031098226 ISBN-13(EAN): 9783031098222 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This present book provides valuable insights on the technical, societal and legal challenges posed by the use of artificial intelligent systems in a plethora of different applications, from embodied robotic systems to ML algorithms. Engaging with concerns about equity, privacy, surveillance and respect for human dignity, “Towards Trustworthy Artificial Intelligent Systems” highlights the fundamental factors on which stakeholders’ trust relies, identifying benchmarking, standardisation and certification as milestones grounding and consolidating that future trust. The multidisciplinary approach followed will make this book a valuable resource for all those involved in the production and deployment of AIs, as well as for academia and legal practitioners.
Автор: Ferreira Название: Towards Trustworthy Artificial Intelligent Systems ISBN: 3031098250 ISBN-13(EAN): 9783031098253 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This present book provides valuable insights on the technical, societal and legal challenges posed by the use of artificial intelligent systems in a plethora of different applications, from embodied robotic systems to ML algorithms. Engaging with concerns about equity, privacy, surveillance and respect for human dignity, “Towards Trustworthy Artificial Intelligent Systems” highlights the fundamental factors on which stakeholders’ trust relies, identifying benchmarking, standardisation and certification as milestones grounding and consolidating that future trust. The multidisciplinary approach followed will make this book a valuable resource for all those involved in the production and deployment of AIs, as well as for academia and legal practitioners.
Автор: Franz Название: Trust and Trustworthy Computing ISBN: 3319455710 ISBN-13(EAN): 9783319455716 Издательство: Springer Рейтинг: Цена: 5870.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 9th International Conference on Trust and Trustworthy Computing, TRUST 2016, held in Vienna, Austria, in August 2016. The 8 full papers presented in this volume were carefully reviewed and selected from 25 submissions.
Автор: Reif Название: Trustworthy Open Self-Organising Systems ISBN: 3319291998 ISBN-13(EAN): 9783319291994 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This booktreats the computational use of social concepts as the focal point for therealisation of a novel class of socio-technical systems, comprising smartgrids, public display environments, and grid computing.Thesesystems are composed of technical and human constituents that interact witheach other in an open environment. Heterogeneity, large scale, and uncertaintyin the behaviour of the constituents and the environment are the rule ratherthan the exception.Ensuringthe trustworthiness of such systems allows their technical constituents tointeract with each other in a reliable, secure, and predictable way while theirhuman users are able to understand and control them. 'TrustworthyOpen Self-Organising Systems' contains a wealth of knowledge, fromtrustworthy self-organisation mechanisms, to trust models, methods to measure auser's trust in a system, a discussion of social concepts beyond trust, andinsights into the impact open self-organising systems will have on society.
Автор: Achim Brucker; Fabiano Dalpiaz; Paolo Giorgini; Pe Название: Secure and Trustworthy Service Composition ISBN: 3319135171 ISBN-13(EAN): 9783319135175 Издательство: Springer Рейтинг: Цена: 6708.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: They provide service developers and providers with a secure service development framework that includes methods, tools, and security services supporting the design-time creation and run-time composition of secure dynamic services, where both the services and the threats are evolving.
Автор: Mauro Conti; Matthias Schunter; Ioannis Askoxylaki Название: Trust and Trustworthy Computing ISBN: 3319228455 ISBN-13(EAN): 9783319228457 Издательство: Springer Рейтинг: Цена: 7826.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 8th International Conference on Trust and Trustworthy Computing, TRUST 2015, held in Heraklion, Crete, Greece, in August 2015. The 15 full papers and 3 short papers presented in this volume were carefully reviewed and selected from 42 submissions.
Описание: This book constitutes the thoroughly refereed proceedings of the Second International Workshop on Trustworthy Eternal Systems via Evolving Software, Data and Knowledge, EternalS, held in Montpellier, France, in August 2012 and co-located with the 20th European Conference on Artificial Intelligence (ECAI 2012).
Описание: With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of “black-box” in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications.This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making.This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.
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