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The Basic AI Drives
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| Venue: | In Proceedings of the First Conference on Artificial General Intelligence |
| Citations: | 40 - 0 self |
BibTeX
@INPROCEEDINGS{Omohundro_thebasic,
author = {Stephen M. Omohundro},
title = {The Basic AI Drives},
booktitle = {In Proceedings of the First Conference on Artificial General Intelligence},
year = {},
pages = {483--492},
publisher = {IOS Press}
}
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Abstract
Abstract. One might imagine that AI systems with harmless goals will be harmless. This paper instead shows that intelligent systems will need to be carefully designed to prevent them from behaving in harmful ways. We identify a number of “drives” that will appear in sufficiently advanced AI systems of any design. We call them drives because they are tendencies which will be present unless explicitly counteracted. We start by showing that goal-seeking systems will have drives to model their own operation and to improve themselves. We then show that self-improving systems will be driven to clarify their goals and represent them as economic utility functions. They will also strive for their actions to approximate rational economic behavior. This will lead almost all systems to protect their utility functions from modification and their utility measurement systems from corruption. We also discuss some exceptional systems which will want to modify their utility functions. We next discuss the drive toward self-protection which causes systems try to prevent themselves from being harmed. Finally we examine drives toward the acquisition of resources and toward their efficient utilization. We end with a discussion of how to incorporate these insights in designing intelligent technology which will lead to a positive future for humanity.
Keyphrases
basic ai drive utility function goal-seeking system harmless goal utility measurement system intelligent system harmful way self-improving system efficient utilization economic utility function ai system rational economic behavior advanced ai system system try intelligent technology positive future exceptional system
