Advertisement

Artificial Intelligence

  • Scott SundvallEmail author
Chapter

Abstract

While artificial intelligence (AI) has received increased attention, discursive circulation, and practical application over the past decade, it is important to distinguish weak (allopoiesis) AI from strong (autopoiesis) AI. This keyword entry situates the current state of weak AI as well as speculates on the potential future of strong AI, as drawn from science, culture, and philosophy.

References

  1. Althusser, Louis. 1971. Lenin and philosophy and other essays. New York: Monthly Review Press.Google Scholar
  2. Derrida, Jacques. 1998. Of grammatology. Baltimore: Johns Hopkins University Press.Google Scholar
  3. Garland, Alex. 2015. Ex Machina. New York: Universal Pictures.CrossRefGoogle Scholar
  4. Gershgorn, Dave. 2017. AI is now so complex its creators can’t trust why it makes decisions. Quartz, December 7. https://qz.com/1146753/ai-is-now-so-complex-its-creators-cant-trust-why-it-makes-decisions
  5. Haraway, Donna. 1996. Simians, cyborgs, and women: The reinvention of nature. London: Free Association Books.Google Scholar
  6. Hayles, N.Katherine. 1999. How we became posthuman: Virtual bodies in cybernetics, literature, and informatics. Chicago: University of Chicago Press.CrossRefGoogle Scholar
  7. Heidegger, Martin. [1927] 2008. Being and time. New York: Harper Perennial Modern Classics.Google Scholar
  8. Jones, Duncan. 2009. Moon. New York: Sony Pictures Classics.Google Scholar
  9. Jonez, Spike. 2013. Her. Burbank: Warner Brothers Pictures.Google Scholar
  10. Kubrick, Stanley. [1968] 2001. A space odyssey. Beverly Hills: Metro-Goldwyn-Mayer.Google Scholar
  11. Leroi-Gourhan, André. 1993. Gesture and speech. Cambridge: MIT University Press.Google Scholar
  12. Luhmann, Niklas. 1998. Risk: A sociological theory. Piscataway: Aldine Transactions.Google Scholar
  13. McCulloch, Warren, and Walter Pitts. 1943. A logical calculus of the ideas immanent in nervous activity. Bulletin of Mathematical Biophysics 5: 115–133.CrossRefGoogle Scholar
  14. Pastuzyn, Elissa D., Cameron E. Day, Rachel B. Kearns, et al. 2018. The neuronal gene arc encodes a repurposed retrotransposon gag protein that mediates intercellular RNA transfer. Cell 172 (1–2): 275–288.CrossRefGoogle Scholar
  15. Romanek, Mark. 2010. Never let me go. Century City: FOX Searchlight Pictures.Google Scholar
  16. Searle, John. 1980. Minds, brains, and programs. Behavioral and Brain Sciences 3: 417–424.CrossRefGoogle Scholar
  17. Stiegler, Bernard. 1998. Technics and time, vol. I: The fault of Epimetheus. Palo Alto: Stanford University Press.Google Scholar
  18. ———. 2008. Technics and time, vol. II: Disorientation. Palo Alto: Stanford University Press.Google Scholar
  19. Ulmer, Gregory. 2002. Reality tables: Virtual furniture. In Prefiguring cyberculture: An intellectual history, ed. Darren Tofts, Annemarie Johnson, and Alessio Cavallaro. Cambridge, MA: MIT University Press.Google Scholar

Copyright information

© The Author(s) 2019

Authors and Affiliations

  1. 1.Department of EnglishUniversity of MemphisMemphisUSA

Personalised recommendations