Can artificial intelligence become a member of the society as an autonomous personality?

Authors

Keywords:

artificial intelligence, robots, neuroscience, cognitive science, consciousness, personality, philosophy of artificial intelligence

Abstract

The development of artificial intelligence and robotics is proceeding so rapidly that many philosophers and technologists believe them to soon become human-like beings, and consequently consider attribution of moral and legal rights to them. Such attribution presupposes that robots and artificial intelligence (robot’s brain) can be autonomous agents, persons. This article discusses this possibility by comparisons of machine and human cognition on different levels, with a primarily materialist-scientific argumentation. Firstly, how humans and machines recognise and navigate the sheer material world of objects differs in essential ways. Although this is the cognition most developed in machines, they cannot form concepts like humans do, thus they lack basic spatio-temporal knowledge. Secondly, social cognition is considered, since this is the context for robots as autonomous members of the society, and some aspects of this are fairly developed in them (like interactive speech). Some authors’ discussions hint that autonomy is not really desired from robots. The third part discusses the neural and phenomenal foundations of self, consciousness and personality, to bring out some further fundamental issues with the possibility of robot agency. It will be concluded that a non-organic being cannot be a locus of personality necessary for social subjectivity.

Author Biography

  • Ave Mets, University of Tartu, 18 Ülikooli Street, Tartu 50090, Estonia

    PhD (philosophy); researcher at the Institute of Philosophy and Semiotics

References

  1. Asimov I. Runaround. Astounding Science Fiction. 1942;29(1):94–103.
  2. Gunkel DJ. Robot Rights. Cambridge: London: MIT Press; 2018. 256 p.
  3. Alexandre L. La guerre des intelligences. Intelligence artificielle versus intelligence humaine. Paris: JC Lattès; 2017. 250 p.
  4. Dennett DC. From bacteria to bach and back. The evolution of minds. New York: W. W. Norton & Company; 2017. 496 p.
  5. Dehaene S. Consciousness and the brain: deciphering how the brain codes our thoughts. New York: Viking Press; 2014. 346 p.
  6. Viik T. Falling in love with robots: a phenomenological study of experiencing technological alterities. Paladyn Journal of Behavioral Robotics. 2020;11(1):52–65. DOI: 10.1515/pjbr-2020-0005.
  7. Coeckelbergh M. Artificial companions: empathy and vulnerability mirroring in human-robot relations. Studies in Ethics, Law, and Technology. 2010;4(3):1–17. DOI: 10.2202/1941-6008.1126.
  8. Kerikmäe T, Müürsepp P, Pihl HM, Hamulak O, Kocharyan H. Legal person- or agenthood of artificial intelligence technologies. Acta Baltica Historiae et Philosophiae Scientiarum. 2020;8(2):73–92. DOI: 10.11590/abhps.2020.2.05.
  9. Dehaene S, Yann Le Cun, Girardon J. La plus belle histoire de l’intelligence. Paris: Robert Laffont; 2019. 288 p.
  10. Vishton PM. Understanding the secrets of human perception. Chantilly: The Great Courses; 2011. 488 p.
  11. Wang S. Neuroscience of everyday life. Chantilly: The Great Courses; 2010. 608 p.
  12. Greenfield S. The private life of the brain. London: Penguin Books; 2002. 258 p.
  13. Miller DL. George Herbert Mead. Self, language, and the world. Austin: University of Texas Press; 1973. 280 p.
  14. Schumacher B. The science of information from language to black holes. Chantilly: The Great Courses; 2015. 362 p.
  15. Mueller JP, Massaron L. Deep learning for dummies. Hoboken: John Wiley and Sons Inc.; 2019. 368 p.
  16. Viskontas I. Brain myths exploded. Lessons from neuroscience. Chantilly: The Great Courses; 2017. 232 p.
  17. Mueller JP, Massaron L. Artificial intelligence for dummies. Hoboken: John Wiley and Sons Inc., 2018. 339 p.
  18. Wallach W, Allen C. Moral machines. Teaching robots right from wrong. New York: Oxford University Press; 2009. 275 p.
  19. Zweig K. Ein Algorithmus hat kein Taktgefühl. Wo künstliche Intelligenz sich irrt, warum uns das betrifft und was wir dagegen tun können. München: Heyne Verlag; 2019. 320 p.
  20. O’Neil C. Weapons of math destruction. How big data increases inequality and threatens democracy. New York: Crown Publishers; 2016. 272p.
  21. Agar J. What is science for? The Lighthill report on artificial intelligence reinterpreted. British Journal of the History of Science. 2020;53(3):289–310. DOI: 10.1017/S0007087420000230.
  22. Núñez PL. The new science of consciousness: exploring the complexity of brain, mind, and self. Amherst: Prometheus Books; 2016. 350 p.
  23. Chalmers DJ. The puzzle of conscious experience. Scientific American Special Edition. 2002;12(1):90–100.
  24. Cotton FA, Wilkinson G, Murillo CA, Bochmann M. Advanced inorganic chemistry. New York: John Wiley and Sons Inc.; 1999. 1376 p.
  25. Giere RN. Scientific perspectivism. Chicago: University of Chicago Press; 2006. 160 p.
  26. Heller HC. Secrets of sleep science: from dreams to disorders. Chantilly: The Great Courses; 2013. 462 p.
  27. Block N. Paradox and cross purposes in recent work on consciousness. Cognition. 2001;79(1–2):197–219. DOI: 10.1016/S0010-0277(00)00129-3.
  28. Morin A. Levels of consciousness and self-awareness: a comparison and integration of various neurocognitive views. Consciousness and Cognition. 2006;15(2):358–371. DOI: 10.1016/j.concog.2005.09.006.
  29. Bolte Taylor J. My stroke of insight: a brain scientist’s personal journey. New York: Viking; 2008. 192 p.
  30. Sacks O. The man who mistook his wife for a hat. London: Picador; 1985. 233 p.

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Published

2022-02-28

How to Cite

Can artificial intelligence become a member of the society as an autonomous personality?. (2022). Journal of the Belarusian State University. Philosophy and Psychology, 1, 32-41. https://journals.bsu.by/index.php/philosophy/article/view/3930