AI for the good:

Contributor(s):

Vieweg, Stefan H [ed.]

Material type: Text

TextPublication details: Cham: Springer, 2021.Description: xiv,256pISBN:

9783030669126

Subject(s):

DDC classification:

610.28563 AIF

Summary: While technology advances at a high pace in the age of machine learning, there is a lack of clear intent and framing of acceptable ethical standards. This book brings together the complex topic of "good" technology in a cross-functional way, alternating between theory and practice.The authors address the ever-expanding discussion on Artificial Intelligence (AI) and ethics by providing an orientation. Pragmatic and recent issues are especially taken into account such as the collateral effects of the COVID19 pandemic. An up-to-date overview of digitization - already a very broad field in itself - is presented along with an analysis of the approaches of AI from an ethical perspective. Furthermore, concrete approaches to consider appropriate ethical principles in AI-based solutions are offered. The book will be appealing to academics, from humanities or business or technical disciplines, as well as practitioners who are looking for an introduction to the topic and an orientation with concrete questions and assistance.

Item type:

Book

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Book	IIM Kashipur	610.28563 AIF (Browse shelf(Opens below))	Available		11244

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Previous	610.141 HEA Health communication health communication and health promotion	610.141 HEA Health communication health risk communication	610.141 HEA Health communication health communication and the health care system	610.28563 AIF AI for the good: artificial intelligence and ethics/	610.28563 ART Artificial intelligence: applications in healthcare delivery/	610.69068 PRE Financing the education of health workers: gaining a competitive edge/	614.4 MAH How data can manage global health pandemics: analyzing and understanding COVID-19/	Next

Includes index.

While technology advances at a high pace in the age of machine learning, there is a lack of clear intent and framing of acceptable ethical standards. This book brings together the complex topic of "good" technology in a cross-functional way, alternating between theory and practice.The authors address the ever-expanding discussion on Artificial Intelligence (AI) and ethics by providing an orientation. Pragmatic and recent issues are especially taken into account such as the collateral effects of the COVID19 pandemic. An up-to-date overview of digitization - already a very broad field in itself - is presented along with an analysis of the approaches of AI from an ethical perspective. Furthermore, concrete approaches to consider appropriate ethical principles in AI-based solutions are offered. The book will be appealing to academics, from humanities or business or technical disciplines, as well as practitioners who are looking for an introduction to the topic and an orientation with concrete questions and assistance.

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