Dublin Core
Title
Artificial Intelligence for a Better Future
An Ecosystem Perspective on the Ethics of AI and Emerging Digital Technologies
An Ecosystem Perspective on the Ethics of AI and Emerging Digital Technologies
Subject
Artificial Intelligence; Ethics; Computers and Society; Philosophy of Technology; Business Ethics; Applied Ethics; Ethics of Technology; Computer Ethics; Information Ethics; Responsible Research and Innovation; Innovation Ecosystem; Engineering Ethics; Corporate Social Responsibility; Open Access; Ethics & moral philosophy; Ethical & social aspects of IT; Philosophy; Business ethics & social responsibility
Description
This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical problems? This book presents an innovative answer to the question by presenting a different perspective on AI and its ethical consequences. Instead of looking at individual AI techniques, applications or ethical issues, we can understand AI as a system of ecosystems, consisting of numerous interdependent technologies, applications and stakeholders. Developing this idea, the book explores how AI ecosystems can be shaped to foster human flourishing. Drawing on rich empirical insights and detailed conceptual analysis, it suggests practical measures to ensure that AI is used to make the world a better place.
Creator
Stahl, Bernd Carsten
Source
https://library.oapen.org/handle/20.500.12657/48228
Publisher
Publisher Springer Nature
Publisher website https://www.springernature.com/gp/products/books
Date
2021
Contributor
Tatik
Rights
https://creativecommons.org/licenses/by/4.0/
Format
PDF
Language
English
Type
Text
Identifier
DOI 10.1007/978-3-030-69978-9
ISBN 9783030699789, 9783030699789