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Robot Ethics 2.0From Autonomous Cars to Artificial Intelligence$
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Patrick Lin, Keith Abney, and Ryan Jenkins

Print publication date: 2017

Print ISBN-13: 9780190652951

Published to Oxford Scholarship Online: October 2017

DOI: 10.1093/oso/9780190652951.001.0001

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Artificial Intelligence and the Ethics of Self-Learning Robots

Artificial Intelligence and the Ethics of Self-Learning Robots

Chapter:
(p.338) 22 Artificial Intelligence and the Ethics of Self-Learning Robots
Source:
Robot Ethics 2.0
Author(s):

Shannon Vallor

George A. Bekey

Publisher:
Oxford University Press
DOI:10.1093/oso/9780190652951.003.0022

The convergence of robotics technology with the science of artificial intelligence is rapidly enabling the development of robots that emulate a wide range of intelligent human behaviors. Recent advances in machine learning techniques have produced artificial agents that can acquire highly complex skills formerly thought to be the exclusive province of human intelligence. These developments raise a host of new ethical concerns about the responsible design, manufacture, and use of robots enabled with artificial intelligence—particularly those equipped with self-learning capacities. While the potential benefits of self-learning robots are immense, their potential dangers are equally serious. While some warn of a future where AI escapes the control of its human creators or even turns against us, this chapter focuses on other, far less cinematic risks of AI that are much nearer to hand, requiring immediate study and action by technologists, lawmakers, and other stakeholders.

Keywords:   robots, artificial intelligence, ethics, machine learning, machine bias, meaningful human control, algorithmic transparency, technological unemployment, automation bias, existential risk

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