The value alignment problem: a geometric approach

Ethics and Information Technology 21 (1):19-28 (2019)
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Abstract

Stuart Russell defines the value alignment problem as follows: How can we build autonomous systems with values that “are aligned with those of the human race”? In this article I outline some distinctions that are useful for understanding the value alignment problem and then propose a solution: I argue that the methods currently applied by computer scientists for embedding moral values in autonomous systems can be improved by representing moral principles as conceptual spaces, i.e. as Voronoi tessellations of morally similar choice situations located in a multidimensional geometric space. The advantage of my preferred geometric approach is that it can be implemented without specifying any utility function ex ante.

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Martin Peterson
Texas A&M University

Citations of this work

Friendly AI.Barbro Fröding & Martin Peterson - 2020 - Ethics and Information Technology 23 (3):207-214.
Human achievement and artificial intelligence.Brett Karlan - 2023 - Ethics and Information Technology 25 (3):1-12.

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References found in this work

Superintelligence: paths, dangers, strategies.Nick Bostrom (ed.) - 2014 - Oxford University Press.
.Nick Bostrom & Julian Savulescu - 2009 - Oxford University Press.
Conceptual Spaces: The Geometry of Thought.Peter Gärdenfors - 2000 - Tijdschrift Voor Filosofie 64 (1):180-181.

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