skip to main content
10.5555/1566174.1566226guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

The Basic AI Drives

Published: 20 June 2008 Publication History

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.

References

[1]
S. M. Omohundro, "The nature of self-improving artificial intelligence." http://selfawaresystems.com/2007/10/05/paper-on-the-nature-of-self-improving-artificial-intelligence/, October 2007.
[2]
S. Russell and P. Norvig, Artificial Intelligence, A Modern Approach. Prentice Hall, second ed., 2003.
[3]
A. Mas-Colell, M. D. Whinston, and J. R. Green, Microeconomic Theory. Oxford University Press, 1995.
[4]
J. G. Miller, Living Systems. Mcgraw Hill, 1978.
[5]
L. Keller, ed., Levels of Selection in Evolution. Princeton University Press, 1999.
[6]
R. Trivers, Social Evolution. Benjamin/Cummings Publishing Company, Inc., 1985.
[7]
R. C. Schwartz, Internal Family Systems Therapy. The Guilford Press, 1995.
[8]
C. F. Camerer, G. Loewenstein, and M. Rabin, eds., Advances in Behavioral Economics. Princeton University Press, 2004.
[9]
D. Kahneman and A. Tversky, Judgment Under Uncertainty: Heuristics and Biases. Cambridge University Press, 1982.
[10]
S. D. Levitt and S. J. Dubner, Freakonomics: A Rogue Economist Explores the Hidden Side of Everything . William Morrow, revised and expanded ed., 2006.
[11]
D. Lenat, "Theory formation by heuristic search," Machine Learning, vol. 21, 1983.
[12]
E. S. Yudkowsky, "Levels of organization in general intelligence," in Artificial General Intelligence (B. Goertzel and C. Pennachin, eds.), Springer-Verlag, 2005.
[13]
R. Kurzweil, The Singularity is Near: When Humans Transcend Biology. Viking Penguin, 2005.

Cited By

View all
  • (2024)The Reasons that Agents Act: Intention and Instrumental GoalsProceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems10.5555/3635637.3663053(1901-1909)Online publication date: 6-May-2024
  • (2023)Optimising peace through a Universal Global Peace Treaty to constrain the risk of war from a militarised artificial superintelligenceAI & Society10.1007/s00146-021-01382-y38:6(2679-2692)Online publication date: 1-Dec-2023
  • (2018)AGI safety literature reviewProceedings of the 27th International Joint Conference on Artificial Intelligence10.5555/3304652.3304782(5441-5449)Online publication date: 13-Jul-2018
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image Guide Proceedings
Proceedings of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference
June 2008
512 pages
ISBN:9781586038335

Publisher

IOS Press

Netherlands

Publication History

Published: 20 June 2008

Author Tags

  1. Artificial Intelligence
  2. Cognitive Drives
  3. Rational Economic Behavior
  4. Self-Improving Systems
  5. Utility Engineering

Qualifiers

  • Article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 07 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (2024)The Reasons that Agents Act: Intention and Instrumental GoalsProceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems10.5555/3635637.3663053(1901-1909)Online publication date: 6-May-2024
  • (2023)Optimising peace through a Universal Global Peace Treaty to constrain the risk of war from a militarised artificial superintelligenceAI & Society10.1007/s00146-021-01382-y38:6(2679-2692)Online publication date: 1-Dec-2023
  • (2018)AGI safety literature reviewProceedings of the 27th International Joint Conference on Artificial Intelligence10.5555/3304652.3304782(5441-5449)Online publication date: 13-Jul-2018
  • (2017)The off-switch gameProceedings of the 26th International Joint Conference on Artificial Intelligence10.5555/3171642.3171675(220-227)Online publication date: 19-Aug-2017
  • (2016)Safely interruptible agentsProceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence10.5555/3020948.3021006(557-566)Online publication date: 25-Jun-2016
  • (2016)Racing to the precipiceAI & Society10.1007/s00146-015-0590-y31:2(201-206)Online publication date: 1-May-2016
  • (2015)Safe Baby AGIProceedings of the 8th International Conference on Artificial General Intelligence - Volume 920510.1007/978-3-319-21365-1_5(46-49)Online publication date: 22-Jul-2015
  • (2013)Pro and cons singularityProceedings of the Virtual Reality International Conference: Laval Virtual10.1145/2466816.2466848(1-6)Online publication date: 20-Mar-2013
  • (2012)Motivation management in AGI systemsProceedings of the 5th international conference on Artificial General Intelligence10.1007/978-3-642-35506-6_36(352-361)Online publication date: 8-Dec-2012
  • (2012)Decision support for safe AI designProceedings of the 5th international conference on Artificial General Intelligence10.1007/978-3-642-35506-6_13(117-125)Online publication date: 8-Dec-2012
  • Show More Cited By

View Options

View options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media