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AI & SOCIETY

, Volume 34, Issue 4, pp 867–876 | Cite as

Non-artificial non-intelligence: Amazon’s Alexa and the frictions of AI

  • Tero KarppiEmail author
  • Yvette Granata
Original Article

Abstract

This paper examines a case where Amazon’s cloud-based AI assistant Alexa accidentally ordered a dollhouse for a 6-year-old girl. In the press, the case was defined as a technical recognition problem. Building on this idea, we argue that the dollhouse case helps us to analyze the limits of current AI applications. By drawing on the writings of Gilles Deleuze and François Laruelle, we argue that these limits are not merely technical but more deeply embedded in the structures where the thinking of AI can potentially happen. We point out that AI research has been compromised by the concepts of what constitutes both ‘artificial’ and by what constitutes ‘intelligence’. First, we use the notion of artificial non-intelligence to explain how different modes of digital capitalism such as voice commerce establish limits for AI. Second, we use the notion of non-artificial intelligence to illustrate the limits of associating AI’s modes of thinking with human thought.

Keywords

Artificial intelligence Alexa Voice user interfaces Non-artificial non-intelligence Laruelle 

Notes

Acknowledgements

This research project was supported with a grant from the Humanities Institute at the University at Buffalo.

References

  1. Aciman A (2017) Amazon’s Alexa isn’t the future of AI—it’s a glorified radio clock, and stupid otherwise. Quartz, Feb 3. https://qz.com/900195/amazons-alexa-isnt-the-future-of-ai-its-a-glorified-radio-clock-and-stupid-otherwise/. Accessed 3 Feb 2017
  2. Amazon (2018a) About Placing Orders with Alexa. May 2. https://www.amazon.com/gp/help/customer/display.html?nodeId=201807210. Accessed 2 May 2018
  3. Amazon (2018b) Alexa Skills Kit. May 2. https://developer.amazon.com/alexa-skills-kit. Accessed 2 May 2018
  4. Amazon (2018c) Alexa Terms of Use. March 28. https://www.amazon.com/gp/help/customer/display.html/ref=aw?ie=UTF8&nodeId=201809740. Accessed 2 May 2018
  5. Amazon (2018d) Alexa Voice Service. May 2. https://developer.amazon.com/alexa-voice-service. Accessed 2 May 2018
  6. Amazon (2018e) Designing with AVS. May 2. https://developer.amazon.com/alexa-voice-service/design. Accessed 2 May 2018
  7. Amazon (2018f) Earn Money with Alexa Developer Rewards. May 2. https://developer.amazon.com/alexa-skills-kit/rewards. Accessed 2 May 2018
  8. Amazon (2018g) Interaction Model. May 5. https://developer.amazon.com/docs/alexa-voice-service/interaction-model.html. Accessed 5 May 2018
  9. Amazon (2018h) SpeechRecognizer Interface (v2.0). May 2. https://developer.amazon.com/docs/alexa-voice-service/speechrecognizer.html. Accessed 2 May 2018
  10. Amazon (2018i) What is Conversational AI? December 17. https://developer.amazon.com/alexa-skills-kit/conversational-ai. Accessed 17 Dec 2018
  11. Amazon (2018j) Why Alexa? May 2. https://developer.amazon.com/alexa. Accessed 2 May 2018
  12. Blankenburg J (2018) Which Type of In-Skill Product Is Right for Your Alexa Skill? Alexa Blogs, October 18. https://developer.amazon.com/blogs/alexa/post/d8363a66-99b0-4c4e-bae2-963b8b2c3023/which-type-of-in-skill-product-is-right-for-your-alexa-skill. Accessed 4 June 2019
  13. Bratton B (2016) The stack: on software and sovereignty. MIT Press, CambridgeCrossRefGoogle Scholar
  14. Brassier R (2003) Axiomatic heresy: the non-philosophy of François Laruelle. Radical Philos 121:24–35Google Scholar
  15. Bucher T (2013) Objects of intense feeling: the case of the twitter API. Comput Culture (3): http://computationalculture.net/objects-of-intense-feeling-the-case-of-the-twitter-api/. Accessed 4 June 2019
  16. Chun WHK (2011) Programmed visions: software and memory. MIT Press, LondonCrossRefGoogle Scholar
  17. Cassimatis NL (2012) Artificial intelligence and cognitive modeling have the same problem. In: Wang P, Goertzel B (eds) Theoretical foundations of artificial general intelligence. Springer, New York, pp 11–24CrossRefGoogle Scholar
  18. Criss D (2017) Who needs Santa? 6-year-old orders dollhouse and cookies from Amazon’s Alexa. CNN, January 5: https://www.cnn.com/2017/01/05/health/amazon-alexa-dollhouse-trnd/index.html. Accessed 4 June 2019
  19. Deleuze G (1990) Logic of sense. The Athlone Press, LondonGoogle Scholar
  20. Deleuze G, Felix G (1994) What is Philosophy?. Columbia University Press, New YorkGoogle Scholar
  21. Deleuze G (2004) Difference and repetition. Continuum, LondonGoogle Scholar
  22. Dupuy J-P (2009) On the origins of cognitive science. MIT Press, CambridgeGoogle Scholar
  23. Earl J (2017) TV news anchor’s report accidentally sets off viewers’ Amazon’s Echo Dots. CBS News, January 10. https://www.cbsnews.com/news/tv-news-anchors-report-accidentally-sets-off-viewers-amazons-echo-dots/. Accessed 4 June 2019
  24. Fisher M (2009) Capitalist realism: is there no alternative?. John Hunt Publishing, LondonGoogle Scholar
  25. Galloway AR (2012) The interface effect. Polity, CambridgeGoogle Scholar
  26. Galloway AR (2014) Laruelle: against the digital. University of Minnesota Press, MinneapolisCrossRefGoogle Scholar
  27. Gracieuse M (2012) Laruelle facing Deleuze: immanence, resistance and desire. In: Mullarkey J, Smith AP (eds) Laruelle and non-philosophy. Edinburgh University Press, EdinburghGoogle Scholar
  28. Guzman A (2017) Making AI safe for humans: a conversation with siri. In: Gehl RW, Bakardjieva M (eds) Socialbots and their friends: digital media and the automation of sociality. Routledge, London, pp 69–85Google Scholar
  29. Hackett R (2017) Amazon Echo’s Alexa Went Dollhouse Crazy. Fortune, January 9: http://fortune.com/2017/01/09/amazon-echo-alexa-dollhouse/. Accessed 4 June 2019
  30. Heath A (2017) Amazon’s Jeff Bezos constantly reminds his workers about the biggest enemy: ‘Irrelevance. Followed by excruciating, painful decline’. Business Insider, April 12: http://www.businessinsider.com/read-amazon-ceo-jeff-bezos-2016-letter-to-shareholders-2017-4. Accessed 4 June 2019
  31. Huygens I (2007) Deleuze and cinema: moving images and movements of thought. Image & Narrative, Issue 18. http://www.imageandnarrative.be/inarchive/thinking_pictures/huygens.htm. Accessed 4 June 2019
  32. Karakayali N, Burc K, Idil G (2018) Recommendation systems as technologies of the self: algorithmic control and the formation of music taste. Theor Cult Soc 35(2):3–24CrossRefGoogle Scholar
  33. Lambert G (2002) The non-philosophy of Gilles Deleuze. Continuum, New YorkGoogle Scholar
  34. Laruelle F (2013a) Philosophy and Non-Philosophy. Trans. Taylor Adkins. Univocal, MinneapolisGoogle Scholar
  35. Laruelle F (2016) Theory of identities. Trans. Alyosha Edlebi. Columbia University Press, New YorkCrossRefGoogle Scholar
  36. Laruelle F (2013) The transcendental computer: a non-philosophical Utopia”, trans. by Taylor Adkins and Chris Eby. https://speculativeheresy.wordpress.com/2013/08/26/translation-of-f-laruelles-the-transcendental-computer-a-non-philosophical-utopia/. Accessed 4 June 2019
  37. Laruelle F (2013b) The transcendental computer. Trans. Taylor Adkins & Chris Eby. https://speculativeheresy.wordpress.com/2013/08/26/translation-of-f-laruelles-the-transcendental-computer-a-non-philosophical-utopia/. Accessed 18 Dec 2018
  38. Liptak A (2017) Amazon’s Alexa started ordering people dollhouses after hearing its name on TV. The Verge, January 7: https://www.theverge.com/2017/1/7/14200210/amazon-alexa-tech-news-anchor-order-dollhouse. Accessed 4 June 2019
  39. Lopatovska I, Rink K, Knight I, Raines K, Cosenza K, Williams H, Sorsche P, Hirch D, Li Q (2018) A Martinez. Talk to me: Exploring user interactions with the Amazon Alexa. J Librariansh Inf Sci 1–14 (Published online before print) Google Scholar
  40. Martin T (2017) How to set up voice profiles on the Amazon Echo. CNET. Oct 12. https://www.cnet.com/how-to/how-to-setup-voice-profiles-on-the-amazon-echo-alexa/. Accessed 17 Dec 2018
  41. McCarthy J, Minsky ML, Rochester N, Shannon CE (2006) A proposal for the Dartmouth summer research project on artificial intelligence. AI Magazine 27(4):12–14Google Scholar
  42. McLuhan M (1995) Media and cultural change. In: McLuhan E, Zingrone F (eds) Essential McLuhan. Anansi Press, Toronto, pp 89–96Google Scholar
  43. Mullarkey J (2006) Post-continental philosophy: an outline. Bloomsbury PublishingGoogle Scholar
  44. Parisi L (2017) Reprogramming Decisionism. e-flux (85): http://www.e-flux.com/journal/85/155472/reprogramming-decisionism/. Accessed 4 June 2019
  45. Rochester N (1955) Proposal for research by N. Rochester. In: McCarthy J, Minsky ML, Rochester N, Shannon CE (eds.) A proposal for the Dartmouth summer research project on artificial intelligence, pp 7–9. http://jmc.stanford.edu/articles/dartmouth/dartmouth.pdf. Accessed 4 June 2019
  46. Sampson TD (2017) The assemblage brain: sense making in neuroculture. University of Minnesota Press, MinneapolisGoogle Scholar
  47. Techopedia (2018) Voice Commerce. May 2. https://www.techopedia.com/definition/16612/voice-commerce. Accessed 2 May 2018
  48. Wang P, Goertzel B (2012) Introduction: what is the matter here? In: Wang P, Goertzel B (eds) Theoretical foundations of artificial general intelligence. Atlantis Thinking Machines, vol 4. Atlantis Press, ParisCrossRefGoogle Scholar

Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2019

Authors and Affiliations

  1. 1.Institute of Communication, Culture, Information and Technology (ICCIT), University of Toronto MississaugaMississaugaCanada
  2. 2.Department of Media StudySUNY BuffaloBuffaloUSA

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