Artificial Intelligence in Social Work Bridging Technology and Humanity | 20.95 MB
Title: Artificial Intelligence in Social Work Bridging Technology and Humanity
Author: Ruopeng An, Michael A. Lindsey
Category: Business & Finance, Career Planning & Job Hunting, Labor, Nonfiction, Social & Cultural Studies, Social Science, Sociology
Language: English | 599 Pages | ISBN: 9783658457082
Description:
Artificial Intelligence (AI) represents a key technology for social change in the 21st century. Numerous technological applications are now in use that are based on machine learning and the associated possibilities for data collection, use and exploitation. By making large amounts of data manageable and hidden patterns and connections visible, AI makes many things faster, easier and more efficient – be it in everyday life, at work or in organizations. However, the question remains open as to what profound and sometimes latent consequences for humans as social beings and social coexistence are associated with the use and development of AI. How is the relationship between people and technology changing through AI and how should this change be assessed? What opportunities and risks do the use and development of AI open up for people and society? What are the limits of change and what design options are available? And last but not least: What and who determines the development paths that AI takewith what consequences and for whom?
Some of the articles in this volume have been automatically translated into English by Springer (machine translation by the service DeepL.com). The contributions were then thoroughly revised, corrected and supplemented by the authors. The authors are therefore responsible not only for the content, but also for the linguistic form of the articles. Nevertheless, the text of the book may differ stylistically from a conventional translation.
Artificial Intelligence (AI) represents a key technology for social change in the 21st century. Numerous technological applications are now in use that are based on machine learning and the associated possibilities for data collection, use and exploitation. By making large amounts of data manageable and hidden patterns and connections visible, AI makes many things faster, easier and more efficient – be it in everyday life, at work or in organizations. However, the question remains open as to what profound and sometimes latent consequences for humans as social beings and social coexistence are associated with the use and development of AI. How is the relationship between people and technology changing through AI and how should this change be assessed? What opportunities and risks do the use and development of AI open up for people and society? What are the limits of change and what design options are available? And last but not least: What and who determines the development paths that AI takewith what consequences and for whom?
Some of the articles in this volume have been automatically translated into English by Springer (machine translation by the service DeepL.com). The contributions were then thoroughly revised, corrected and supplemented by the authors. The authors are therefore responsible not only for the content, but also for the linguistic form of the articles. Nevertheless, the text of the book may differ stylistically from a conventional translation.
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