Do Chatbots Dream of Androids? Prospects for the Technological Development of Artificial Intelligence and Robotics
https://doi.org/10.30727/0235-1188-2019-62-7-73-95
Abstract
The article discusses the main trends in the development of artificial intelligence systems and robotics (AI&R). The main question that is considered in this context is whether artificial systems are going to become more and more anthropomorphic, both intellectually and physically. In the article, the author analyzes the current state and prospects of technological development of artificial intelligence and robotics and also determines the main aspects of the impact of these technologies on society and economy, indicating the geopolitical strategic nature of this influence. The author considers various approaches to the definition of artificial intelligence and robotics, focusing on the subject-oriented and functional ones. In the article, AI&R abilities and human abilities are compared in such areas as categorization, pattern recognition, planning and decision making, etc. Based on this comparison, it is concluded in which areas AI&R’s performance is inferior to a human and in which cases it is superior to one. The modern achievements in the field of robotics and artificial intelligence create the necessary basis for further discussion of the applicability of goal setting in engineering, in the form of a Turing test. It is shown that development of AI&R is associated with certain contradictions that impede the application of Turing’s methodology in its usual format. The basic contradictions in the development of AI&R technologies imply that there is to be a transition to a post-Turing methodology for assessing engineering implementations of AI&R. In such implementations, on the one hand, the “Turing wall” is removed, and on the other hand, artificial intelligence gets its physical implementation.
About the Author
Albert R. EfimovRussian Federation
Head;
postgraduate student at the Faculty of Philosophy
References
1. Alekseev A.Y. (2008) Another Problem in Computer Communications. Russian Journal of Philosophical Sciences = Filosofskie nauki. 2008. No. 6, pp. 114–136 (in Russian).
2. Alekseev A.Y. (2013) The Comprehensive Turing Test: Philosophical, Methodological and Socio-Cultural Aspects. Moscow: IInteLL (in Russian).
3. Beskaravayny S.S. (2018) Genesis of Technology and Singularity. Moscow: RIPOL classic (in Russian).
4. McAfee A. & Brynjolfsson E. (2017) Machine, Platform, Crowd. Harnessing Our Digital Future (Russian translation: Moscow: Mann, Ivanov and Ferber, 2019).
5. Brooks R. (2019) A Better Lesson. Robots, AI, and Other Stuff. Retrieved from https://rodneybrooks.com/a-better-lesson/
6. Deutsch D. (2012, October 3) Creative Blocks: The Very Laws of Physics Imply That Artificial Intelligence Must Be Possible. What’s Holding Us Up? Aeon. Retrieved from https://aeon.co/essays/how-close-are-we-to-creating-artificial-intelligence
7. Dreyfus H.L. (1972) What Computers Can’t Do: The Limits of Artificial Intelligence (Russian translation: Moscow: Progress, 1978).
8. Dreyfus H.L. (1991) Being-in-the-World: A Commentary on Heidegger’s Being and Time, Division I. Cambridge, MA: The MIT Press.
9. Dubrovsky D. (2018) The Hard Problem of Consciousness. Theoretical Solution of Its Main Questions. Neuroscience. Vol. 6, no. 2, pp. 85–103.
10. Finn V.K. (2018) Artificial Intelligence: Methodology, Application, Philosophy. Moscow: Krasand (in Russian).
11. Fodor J. (1990) Theory of Content and Other Issues. Cambridge, MA: The MIT Press.
12. Hernandez D. (2017, November 10) How to Survive a Robot Apocalypse: Just Close the Door. The Wall Street Journal. Retrieved from https://www. wsj.com/articles/how-to-survive-a-robot-apocalypse-just-close-the-door-1510327719
13. Krol M. (1999) Have We Witnessed a Real-Life Turing Test? Computer. Vol. 32, no. 3, pp. 27–30.
14. Krotkov E., Hackett D., Jackel L., Perschbacher M., Pippine J., Strauss J., & Orlowski C. (2016) The DARPA Robotics Challenge Finals: Results and Perspectives. Journal of Field Robotics. Vol. 34, no. 2, pp. 229–240.
15. Moor J.H. (Ed.) (2003) The Turing Test: The Elusive Standard of Artificial Intelligence. Dordrecht: Kluwer Academic.
16. Moravec H. (1988) Mind Children: The Future of Robot and Human Intelligence. Cambridge, MA: Harvard University Press, 1988.
17. Peckham J. (2019, January 9) Your Mirror May Soon Be Able to Decide the Clothes You Wear. Techradar. Retrieved from https://www.techradar.com/news/your-mirror-may-soon-be-able-to-decide-the-clothes-you-wear
18. Purdy M. & Daugherty P. (2016) Why Artificial Intelligence is the Future of Growth. In: Accenture. Retrieved from: https://www.accenture.com/t20170524t055435__w__/ca-en/_acnmedia/pdf-52/accenture-why-ai-is-thefuture-of-growth.pdf
19. Putnam H. (1975) Philosophical Papers. Volume 2: Mind, Language and Reality. Cambridge, UK: Cambridge University Press.
20. Rasmussen J. (1979) On the Structure of Knowledge – A Morphology of Mental Models in a Man-Machine System Context. Roskilde: Riso National Laboratory.
21. Shaw I.G.R. (2017) Robot Wars: US Empire and Geopolitics in the Robotic Age. Security Dialogue. Vol. 48, no. 5, pp. 451–470.
22. Shoham Y. et al. (2018) The AI Index 2018 Annual Report. Stanford, CA: AI Index Steering Committee. Retrieved from http://cdn.aiindex.org/2018/AI%20Index%202018%20Annual%20Report.pdf
23. Solow R.M. (1987, July 12) We’d Better Watch Out. New York Times Book Review. P. 36.
24. Turing A. (1950) Computing Machinery and Intelligence. Mind. Vol. 59, pp. 433–460.
25. Warwick K. & Shah H. (2016) Turing’s Imitation Game: Conversations with Unknown. Cambridge: Cambridge University Press.
26.
27.
Review
For citations:
Efimov A.R. Do Chatbots Dream of Androids? Prospects for the Technological Development of Artificial Intelligence and Robotics. Russian Journal of Philosophical Sciences. 2019;62(7):73-95. https://doi.org/10.30727/0235-1188-2019-62-7-73-95