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.
Описание: This book constitutes the refereed proceedings of the 5th International School on Engineering Trustworthy Software Systems, SETSS 2019, held in Chongqing, China, in April 2019. The five chapters in this volume provide lectures on leading-edge research in methods and tools for use in computer system engineering.
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: This book constitutes the thoroughly refereed post conference papers of the Third International Conference on Blockchain and Trustworthy Systems, Blocksys 2021, held in Guangzhou, China, in August 2021.*The 38 full papers and the 12 short papers were carefully reviewed and selected from 98 submissions.
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.
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.
Автор: Zhiming Liu; Zili Zhang Название: Engineering Trustworthy Software Systems ISBN: 3319296272 ISBN-13(EAN): 9783319296272 Издательство: Springer Рейтинг: Цена: 7826.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: (In-)formal methods: The Lost Art.- Program refinement, perfect secrecy and information flow.- The Z Notation: Whence the Cause and Whither the Course?.- Model-Driven Design of Object and Component Systems.- Cyber-Physical Systems Engineering.- Combining Formal and Informal Methods in the Design of Spacecrafts.
This book constitutes the thoroughly refereed conference proceedings of the First International Workshop on the Foundation of Trustworthy AI - Integrating Learning, Optimization and Reasoning, TAILOR 2020, held virtually in September 2020, associated with ECAI 2020, the 24th European Conference on Artificial Intelligence.
The 11 revised full papers presented together with 6 short papers and 6 position papers were reviewed and selected from 52 submissions. The contributions address various issues for Trustworthiness, Learning, reasoning, and optimization, Deciding and Learning How to Act, AutoAI, and Reasoning and Learning in Social Contexts.
Автор: Jonathan P. Bowen; Zhiming Liu; Zili Zhang Название: Engineering Trustworthy Software Systems ISBN: 3030176002 ISBN-13(EAN): 9783030176006 Издательство: Springer Рейтинг: Цена: 8104.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume contains lectures on leading-edge research in methods and tools for use in computer system engineering;
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.
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.
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.
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