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Trustworthy Artificial Intelligence Implementation, Baker-Brunnbauer


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Автор: Baker-Brunnbauer
Название:  Trustworthy Artificial Intelligence Implementation
ISBN: 9783031182747
Издательство: Springer
Классификация:





ISBN-10: 303118274X
Обложка/Формат: Hardback
Страницы: 127
Вес: 0.35 кг.
Дата издания: 07.12.2022
Серия: Business Guides on the Go
Язык: English
Издание: 1st ed. 2023
Иллюстрации: 1 illustrations, black and white; xix, 127 p. 1 illus.
Размер: 210 x 148
Читательская аудитория: Professional & vocational
Основная тема: Business and Management
Подзаголовок: Introduction to the taii framework
Ссылка на Издательство: Link
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Поставляется из: Германии
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.
Дополнительное описание: 1. Introduction.- 2. Artificial Intelligence.- 3. Ethics and Moral.- 4. Business and Management Perspective.- 5. Empirical Study.- 6. Findings.- 7. TAII Framework.



Trustworthy Open Self-Organising Systems

Автор: Reif
Название: Trustworthy Open Self-Organising Systems
ISBN: 3319291998 ISBN-13(EAN): 9783319291994
Издательство: Springer
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Цена: 13275.00 р.
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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.

Intentional Leadership

Автор: Mishra, Karen E.
Название: Intentional Leadership
ISBN: 036742147X ISBN-13(EAN): 9780367421472
Издательство: Taylor&Francis
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Цена: 22202.00 р.
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Trustworthy Artificial Intelligence Implementation

Автор: Baker-Brunnbauer
Название: Trustworthy Artificial Intelligence Implementation
ISBN: 3031182774 ISBN-13(EAN): 9783031182778
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.

Trustworthy Ubiquitous Computing

Автор: Ismail Khalil; Teddy Mantoro
Название: Trustworthy Ubiquitous Computing
ISBN: 9462390576 ISBN-13(EAN): 9789462390577
Издательство: Springer
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Цена: 13275.00 р.
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Описание: Trustworthy Ubiquitous Computing covers aspects of trust in ubiquitous computing environments.

Towards Trustworthy Artificial Intelligent Systems

Автор: Ferreira
Название: Towards Trustworthy Artificial Intelligent Systems
ISBN: 3031098226 ISBN-13(EAN): 9783031098222
Издательство: Springer
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Цена: 13974.00 р.
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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.

Towards Trustworthy Artificial Intelligent Systems

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.

Trust and Trustworthy Computing

Автор: Franz
Название: Trust and Trustworthy Computing
ISBN: 3319455710 ISBN-13(EAN): 9783319455716
Издательство: Springer
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Цена: 5870.00 р.
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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.

Secure and Trustworthy Service Composition

Автор: Achim Brucker; Fabiano Dalpiaz; Paolo Giorgini; Pe
Название: Secure and Trustworthy Service Composition
ISBN: 3319135171 ISBN-13(EAN): 9783319135175
Издательство: Springer
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Цена: 6708.00 р.
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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.

Trust and Trustworthy Computing

Автор: Mauro Conti; Matthias Schunter; Ioannis Askoxylaki
Название: Trust and Trustworthy Computing
ISBN: 3319228455 ISBN-13(EAN): 9783319228457
Издательство: Springer
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Цена: 7826.00 р.
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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.

Trustworthy Eternal Systems via Evolving Software, Data and Knowledge

Автор: Alessandro Moschitti; Barbara Plank
Название: Trustworthy Eternal Systems via Evolving Software, Data and Knowledge
ISBN: 3642452590 ISBN-13(EAN): 9783642452598
Издательство: Springer
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Цена: 6986.00 р.
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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).

Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent

Автор: Zhou Jianlong, Chen Fang
Название: Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent
ISBN: 3030080072 ISBN-13(EAN): 9783030080075
Издательство: Springer
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Цена: 9083.00 р.
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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.

How to be trustworthy

Автор: Hawley, Katherine (university Of St Andrews)
Название: How to be trustworthy
ISBN: 0198843909 ISBN-13(EAN): 9780198843900
Издательство: Oxford Academ
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Цена: 5067.00 р.
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Описание: Katherine Hawley investigates what trustworthiness means in our lives. We become untrustworthy when we break promises, miss deadlines, or give unreliable information. But we can`t be sure about what we can commit to. Hawley examines the social obstacles to trustworthiness, and explores how we can steer between overcommitment and undercommitment.


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