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HandWiki. AI-Control Problem. Encyclopedia. Available online: https://encyclopedia.pub/entry/34609 (accessed on 25 September 2026).
HandWiki. AI-Control Problem. Encyclopedia. Available at: https://encyclopedia.pub/entry/34609. Accessed September 25, 2026.
HandWiki. "AI-Control Problem" Encyclopedia, https://encyclopedia.pub/entry/34609 (accessed September 25, 2026).
HandWiki. (2022, November 15). AI-Control Problem. In Encyclopedia. https://encyclopedia.pub/entry/34609
HandWiki. "AI-Control Problem." Encyclopedia. Web. 15 November, 2022.
AI-Control Problem
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In artificial intelligence (AI) and philosophy, the AI-control problem is the hypothetical puzzle of how to build a superintelligent agent that will aid its creators, and avoid inadvertently building a superintelligence that will harm its creators. Its study is motivated by the claim that the human race will have to get the control problem right "the first time", as a misprogrammed superintelligence might rationally decide to "take over the world" and refuse to permit its programmers to modify it after launch. In addition, some scholars argue that solutions to the control problem, alongside other advances in "AI safety engineering", might also find applications in existing non-superintelligent AI. Potential strategies include "capability control" (preventing an AI from being able to pursue harmful plans), and "motivational control" (building an AI that wants to be helpful).

artificial intelligence control problem ai-control

References

  1. Bostrom, Nick (2014). Superintelligence (First ed.). ISBN 0199678111. 
  2. "Stephen Hawking: 'Transcendence looks at the implications of artificial intelligence – but are we taking AI seriously enough?'". The Independent (UK). https://www.independent.co.uk/news/science/stephen-hawking-transcendence-looks-at-the-implications-of-artificial-intelligence--but-are-we-taking-ai-seriously-enough-9313474.html. Retrieved 14 June 2016. 
  3. "Stephen Hawking warns artificial intelligence could end mankind". BBC. 2 December 2014. https://www.bbc.com/news/technology-30290540. Retrieved 14 June 2016. 
  4. "Anticipating artificial intelligence". Nature 532 (7600): 413. 26 April 2016. doi:10.1038/532413a. PMID 27121801. http://www.nature.com/news/anticipating-artificial-intelligence-1.19825. Retrieved 14 June 2016. 
  5. "Google developing kill switch for AI". BBC News. 8 June 2016. https://www.bbc.com/news/technology-36472140. Retrieved 12 June 2016. 
  6. "‘Press the big red button': Computer experts want kill switch to stop robots from going rogue". Washington Post. https://www.washingtonpost.com/news/morning-mix/wp/2016/06/09/press-the-big-red-button-computer-experts-want-kill-switch-to-stop-robots-from-going-rogue/. Retrieved 12 June 2016. 
  7. "DeepMind Has Simple Tests That Might Prevent Elon Musk’s AI Apocalypse". Bloomberg.com. 11 December 2017. https://www.bloomberg.com/news/articles/2017-12-11/deepmind-has-simple-tests-that-might-prevent-elon-musk-s-ai-apocalypse. Retrieved 8 January 2018. 
  8. "Alphabet's DeepMind Is Using Games to Discover If Artificial Intelligence Can Break Free and Kill Us All" (in en). Fortune. http://fortune.com/2017/12/12/alphabet-deepmind-ai-safety-musk-games/. Retrieved 8 January 2018. 
  9. "Specifying AI safety problems in simple environments | DeepMind". https://deepmind.com/blog/specifying-ai-safety-problems/. Retrieved 8 January 2018. 
  10. Soares, Nate, et al. "Corrigibility." Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence. 2015.
  11. Orseau, Laurent, and Stuart Armstrong. "Safely Interruptible Agents." Machine Intelligence Research Institute, June 2016.
  12. Chalmers, David (2010). "The singularity: A philosophical analysis". Journal of Consciousness Studies 17 (9–10): 7–65. 
  13. Fallenstein, Benja, and Nate Soares. "Problems of self-reference in self-improving space-time embedded intelligence." Artificial General Intelligence. Springer International Publishing, 2014. 21-32.
  14. Russell, Stuart; Norvig, Peter (2009). "26.3: The Ethics and Risks of Developing Artificial Intelligence". A Modern Approach. Prentice Hall. ISBN 978-0-13-604259-4. 
  15. Dietterich, Thomas; Horvitz, Eric (2015). "Rise of Concerns about AI: Reflections and Directions". Communications of the ACM 58 (10): 38–40. doi:10.1145/2770869. http://research.microsoft.com/en-us/um/people/horvitz/CACM_Oct_2015-VP.pdf. Retrieved 14 June 2016. 
  16. Russell, Stuart (2014). "Of Myths and Moonshine". http://edge.org/conversation/the-myth-of-ai#26015. 
  17. Eliezer Yudkowsky. "Complex value systems in friendly AI." Artificial general intelligence. Springer Berlin Heidelberg, 2011. 388-393.
  18. Kaj Sotala; Roman Yampolskiy (19 December 2014). "Responses to catastrophic AGI risk: a survey". Physica Scripta 90 (1). 
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