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Towards Sustainable Artificial Intelligence: A Framework to Create Value and Understand Risk, Tsafack Chetsa Ghislain Landry


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Автор: Tsafack Chetsa Ghislain Landry
Название:  Towards Sustainable Artificial Intelligence: A Framework to Create Value and Understand Risk
ISBN: 9781484272138
Издательство: Springer
Классификация:





ISBN-10: 1484272137
Обложка/Формат: Paperback
Страницы: 140
Вес: 0.23 кг.
Дата издания: 28.08.2021
Язык: English
Издание: 1st ed.
Иллюстрации: 8 illustrations, black and white; xiii, 132 p. 8 illus.
Размер: 23.39 x 15.60 x 0.84 cm
Читательская аудитория: Professional & vocational
Подзаголовок: A framework to create value and understand risk
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:

So far, little effort has been devoted to developing practical approaches on how to develop and deploy AI systems that meet certain standards and principles. This is despite the importance of principles such as privacy, fairness, and social equality taking centre stage in discussions around AI. However, for an organization, failing to meet those standards can give rise to significant lost opportunities. It may further lead to an organizations demise, as the example of Cambridge Analytica demonstrates. It is, however, possible to pursue a practical approach for the design, development, and deployment of sustainable AI systems that incorporates both business and human values and principles.

This book discusses the concept of sustainability in the context of artificial intelligence. In order to help businesses achieve this objective, the author introduces the sustainable artificial intelligence framework (SAIF), designed as a reference guide in the development and deployment of AI systems.

The SAIF developed in the book is designed to help decision makers such as policy makers, boards, C-suites, managers, and data scientists create AI systems that meet ethical principles. By focusing on four pillars related to the socio-economic and political impact of AI, the SAIF creates an environment through which an organization learns to understand its risk and exposure to any undesired consequences of AI, and the impact of AI on its ability to create value in the short, medium, and long term.

What You Will Learn

  • See the relevance of ethics to the practice of data science and AI
  • Examine the elements that enable AI within an organization
  • Discover the challenges of developing AI systems that meet certain human or specific standards
  • Explore the challenges of AI governance
  • Absorb the key factors to consider when evaluating AI systems

Who This Book Is For

Decision makers such as government officials, members of the C-suite and other business managers, and data scientists as well as any technology expert aspiring to a data-related leadership role.




Big Data Analytics for Sustainable Computing

Автор: Anandakumar Haldorai, Arulmurugan Ramu
Название: Big Data Analytics for Sustainable Computing
ISBN: 1522597506 ISBN-13(EAN): 9781522597506
Издательство: Mare Nostrum (Eurospan)
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Цена: 32987.00 р.
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Описание: Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational intelligence and computing services for analyzing this significant area of information science.

Big Data Analytics for Sustainable Computing is a collection of innovative research that focuses on new computing and system development issues in emerging sustainable applications. Featuring coverage on a wide range of topics such as data filtering, knowledge engineering, and cognitive analytics, this publication is ideally designed for data scientists, IT specialists, computer science practitioners, computer engineers, academicians, professionals, and students seeking current research on emerging analytical techniques and data processing software.

Big Data Analytics for Sustainable Computing

Автор: Anandakumar Haldorai, Arulmurugan Ramu
Название: Big Data Analytics for Sustainable Computing
ISBN: 1522597514 ISBN-13(EAN): 9781522597513
Издательство: Mare Nostrum (Eurospan)
Цена: 27027.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational intelligence and computing services for analyzing this significant area of information science. Big Data Analytics for Sustainable Computing is a collection of innovative research that focuses on new computing and system development issues in emerging sustainable applications. Featuring coverage on a wide range of topics such as data filtering, knowledge engineering, and cognitive analytics, this publication is ideally designed for data scientists, IT specialists, computer science practitioners, computer engineers, academicians, professionals, and students seeking current research on emerging analytical techniques and data processing software.

Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture

Автор: Pradeep Tomar, Gurjit Kaur
Название: Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture
ISBN: 1799817229 ISBN-13(EAN): 9781799817222
Издательство: Mare Nostrum (Eurospan)
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Цена: 28967.00 р.
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Описание: Presents research exploring the theoretical and practical aspects of critical technological solutions within the farming industry. The book features coverage on a broad range of topics, including crop monitoring, precision livestock farming, and agronomic data processing.

Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture

Автор: Pradeep Tomar, Gurjit Kaur
Название: Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture
ISBN: 1799817237 ISBN-13(EAN): 9781799817239
Издательство: Mare Nostrum (Eurospan)
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Цена: 24116.00 р.
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Описание: As technology continues to saturate modern society, agriculture has started to adopt digital computing and data-driven innovations. This emergence of ""smart"" farming has led to various advancements in the field, including autonomous equipment and the collection of climate, livestock, and plant data. As connectivity and data management continue to revolutionize the farming industry, empirical research is a necessity for understanding these technological developments. Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture provides emerging research exploring the theoretical and practical aspects of critical technological solutions within the farming industry. Featuring coverage on a broad range of topics such as crop monitoring, precision livestock farming, and agronomic data processing, this book is ideally designed for farmers, agriculturalists, product managers, farm holders, manufacturers, equipment suppliers, industrialists, governmental professionals, researchers, academicians, and students seeking current research on technological applications within agriculture and farming.

Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications

Автор: Hassanien Aboul Ella, Bhatnagar Roheet, Darwish Ashraf
Название: Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications
ISBN: 3030519198 ISBN-13(EAN): 9783030519193
Издательство: Springer
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Цена: 24392.00 р.
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Описание: This book highlights the latest advances in the field of artificial intelligence and related technologies, with a special focus on sustainable development and environmentally friendly artificial intelligence applications.

Artificial Intelligence for a Sustainable Industry 4.0

Автор: Awasthi Shashank, Travieso-Gonzбlez Carlos M., Sanyal Goutam
Название: Artificial Intelligence for a Sustainable Industry 4.0
ISBN: 3030770699 ISBN-13(EAN): 9783030770693
Издательство: Springer
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Цена: 18294.00 р.
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Описание: Section 2 explores the sustainable engineering solutions development using AI, which addresses challenges in various computing techniques and opportunities in engineering design for sustainable development using IoT/AI and smart cities.

Towards a Code of Ethics for Artificial Intelligence

Автор: Paula Boddington
Название: Towards a Code of Ethics for Artificial Intelligence
ISBN: 3319869051 ISBN-13(EAN): 9783319869056
Издательство: Springer
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Цена: 7927.00 р.
Наличие на складе: Нет в наличии.

Artificial Intelligence and Renewables Towards an Energy Transition

Автор: Hatti Mustapha
Название: Artificial Intelligence and Renewables Towards an Energy Transition
ISBN: 3030638456 ISBN-13(EAN): 9783030638450
Издательство: Springer
Цена: 28051.00 р.
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Описание: People use science every single day in their jobs! From a smoothie maker creating a vortex to blend fruit and vegetables to firefighters extinguishing a blaze by breaking the fire triangle, the jobs and occupations at the heart of this super-creative non-fiction read will inspire all children to seek out the everyday science in the world around us.

Machine Translation and Global Research: Towards Improved Machine Translation Literacy in the Scholarly Community

Автор: Lynne Bowker, Jairo Buitrago Ciro
Название: Machine Translation and Global Research: Towards Improved Machine Translation Literacy in the Scholarly Community
ISBN: 1787567222 ISBN-13(EAN): 9781787567221
Издательство: Emerald
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Цена: 13821.00 р.
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Описание: Lynne Bowker and Jairo Buitrago Ciro introduce the concept of machine translation literacy, a new kind of literacy for scholars and librarians in the digital age. This book is a must-read for researchers and information professionals eager to maximize the global reach and impact of any form of scholarly work.

Fuzzy Logic in Artificial Intelligence: Towards Intelligent Systems

Автор: Trevor Martin; Anca L. Ralescu
Название: Fuzzy Logic in Artificial Intelligence: Towards Intelligent Systems
ISBN: 3540624740 ISBN-13(EAN): 9783540624745
Издательство: Springer
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Цена: 8537.00 р.
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Описание: The 20 revised full conference papers included in this book are organized into sections on hybrid and novel architectures, machine learning and data mining, image processing and computer vision, and theoretical developments.

Societal Responsibility of Artificial Intelligence: Towards an Ethical and Eco-Responsible AI

Автор: Beranger Jerome
Название: Societal Responsibility of Artificial Intelligence: Towards an Ethical and Eco-Responsible AI
ISBN: 1786306948 ISBN-13(EAN): 9781786306944
Издательство: Wiley
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Цена: 21851.00 р.
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Описание: This standard describes the various types and classes of cold-water singlejet meters in sizes 5/8 in. (15 mm) through 6 in. (150 mm) for water utilities` customer service and the materials and workmanship employed in their fabrication. These meters register by recording the revolutions of a rotor powered by the force of flowing water striking its blades.

Towards an International Political Economy of Artificial Intelligence

Автор: Keskin Tugrul, Kiggins Ryan David
Название: Towards an International Political Economy of Artificial Intelligence
ISBN: 3030744191 ISBN-13(EAN): 9783030744199
Издательство: Springer
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Цена: 18294.00 р.
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Описание: This volume seeks to leverage academic interdisciplinarity to develop insight into how Artificial intelligence (AI), the latest GPT to emerge, may influence or radically change socio-political norms, practices, and institutions.


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