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Raising Ethical Machines: Bottom-Up Methods to Implementing Machine Ethics

Raising Ethical Machines: Bottom-Up Methods to Implementing Machine Ethics

Marten H. L. Kaas
Copyright: © 2021 |Pages: 22
ISBN13: 9781799848943|ISBN10: 1799848949|ISBN13 Softcover: 9781799867982|EISBN13: 9781799848950
DOI: 10.4018/978-1-7998-4894-3.ch004
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MLA

Kaas, Marten H. L. "Raising Ethical Machines: Bottom-Up Methods to Implementing Machine Ethics." Machine Law, Ethics, and Morality in the Age of Artificial Intelligence, edited by Steven John Thompson, IGI Global, 2021, pp. 47-68. https://doi.org/10.4018/978-1-7998-4894-3.ch004

APA

Kaas, M. H. (2021). Raising Ethical Machines: Bottom-Up Methods to Implementing Machine Ethics. In S. Thompson (Ed.), Machine Law, Ethics, and Morality in the Age of Artificial Intelligence (pp. 47-68). IGI Global. https://doi.org/10.4018/978-1-7998-4894-3.ch004

Chicago

Kaas, Marten H. L. "Raising Ethical Machines: Bottom-Up Methods to Implementing Machine Ethics." In Machine Law, Ethics, and Morality in the Age of Artificial Intelligence, edited by Steven John Thompson, 47-68. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-4894-3.ch004

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Abstract

The ethical decision-making and behaviour of artificially intelligent systems is increasingly important given the prevalence of these systems and the impact they can have on human well-being. Many current approaches to implementing machine ethics utilize top-down approaches, that is, ensuring the ethical decision-making and behaviour of an agent via its adherence to explicitly defined ethical rules or principles. Despite the attractiveness of this approach, this chapter explores how all top-down approaches to implementing machine ethics are fundamentally limited and how bottom-up approaches, in particular, reinforcement learning methods, are not beset by the same problems as top-down approaches. Bottom-up approaches possess significant advantages that make them better suited for implementing machine ethics.

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