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Psychotherapy in the era of artificial intelligence: Therapist Panoptes

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Alexios Brailas

Abstract


What will happen when an artificial intelligence entity has access to all the information stored about me online, with the ability to process my information efficiently and flawlessly? Will such an entity not be, in fact, my ideal therapist?” Would there ever come a point at which you would put your trust in an omniscient, apperceptive, and ultra-intelligent robotic therapist? There is a horizon beyond which we can neither see nor even imagine; this is the technological singularity moment for psychotherapy. If human intelligence is capable of creating an artificial intelligence that surpasses its creators, then this intelligence would, in turn, be able to create an even superior next-generation intelligence. An inevitable positive feedback loop would lead to an exponential intelligence growth rate. In the present paper, we introduce the term Therapist Panoptes as a working hypothesis to investigate the implications for psychotherapy of an artificial therapeutic agent: one that is able to access all available data for a potential client and process these with an inconceivably superior intelligence. Although this opens a new perspective on the future of psychotherapy, the sensitive dependence of complex techno-social systems on their initial conditions renders any prediction impossible. Artificial intelligence and humans form a bio-techno-social system, and the evolution of the participating actors in this complex super-organism depends upon their individual action, as well as upon each actor being a coevolving part of a self-organized whole.


Keywords


psychotherapy; artificial intelligence; Panopticon; Google; singularity; therapist Panoptes; complexity theory; systems thinking; Robotocene

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References


Bateson, G. (1972). Steps to an ecology of mind. Chicago: University of Chicago Press.

Brailas, A., Koskinas, K., & Alexias, G. (2017). Teaching to emerge: Toward a bottom-up pedagogy. Cogent Education, 4 (1), 1377506. https://doi.org/10.1080/2331186X.2017.1377506

Brailas, A., & Tsekeris, C. (2014). Social behaviour in the internet era: Cyborgs, adolescents and education. European Journal of Social Behaviour, 1 (1), 1-4.

Byrne, D. (1998). Complexity Theory and the Social Sciences: An Introduction. London; New York: Routledge.

Capra, F., & Luisi, P. L. (2014). The Systems View of Life: A Unifying Vision. UK: Cambridge University Press.

D’Alfonso, S., Santesteban-Echarri, O., Rice, S., Wadley, G., Lederman, R., Miles, C., … Alvarez-Jimenez, M. (2017). Artificial Intelligence-Assisted Online Social Therapy for Youth Mental Health. Frontiers in Psychology, 8, 796. https://doi.org/10.3389/fpsyg.2017.00796

Davis, B., & Sumara, D. J. (2006). Complexity and Education: Inquiries into Learning, Teaching, and Research. Mahwah, New Jersey: Lawrence Erlbaum Associates.

De Fauw, J., Ledsam, J. R., Romera-Paredes, B., Nikolov, S., Tomasev, N., Blackwell, S., … Ronneberger, O. (2018). Clinically applicable deep learning for diagnosis and referral in retinal disease. Nature Medicine, 24 (9), 1342-1350. https://doi.org/10.1038/s41591-018-0107-6

DeVault, D., Artstein, R., Benn, G., Dey, T., Fast, E., Gainer, A., … Morency, L.-P. (2014). SimSensei Kiosk: A Virtual Human Interviewer for Healthcare Decision Support. In Proceedings of the 2014 International Conference on Autonomous Agents and Multi-agent Systems (pp. 1061-1068). Richland, SC: International Foundation for Autonomous Agents and Multiagent Systems. Retrieved from http://dl.acm.org/citation.cfm?id=2617388.2617415

Eden, A. H., Steinhart, E., Pearce, D., & Moor, J. H. (2012). Singularity Hypotheses: An Overview. In A. H. Eden, J. H. Moor, J. H. Søraker, & E. Steinhart (Eds.), Singularity Hypotheses: A Scientific and Philosophical Assessment (pp. 1-12). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-32560-1_1

Feldman, D. P. (2012). Chaos and Fractals: An Elementary Introduction. UK: Oxford University Press.

Gkini, C., & Brailas, A. (2015). Visualizations of personal social networks on Facebook and community structure: an exploratory study. European Journal of Social Behaviour, 2 (1), 21–30. https://doi.org/10.5281/zenodo.237086

Hamet, P., & Tremblay, J. (2017). Artificial intelligence in medicine. Insights Into the Future of Medicine: Technologies, Concepts, and Integration, 69, S36-S40. https://doi.org/10.1016/j.metabol.2017.01.011

Harcourt, B. E. (2015). Exposed: Desire and Disobedience in the Digital Age. Cambridge, Massachusetts: Harvard University Press.

Harcourt, B. E. (2018). Virtual Transparency: From the Panopticon to the Expository Society and Beyond. In E. Alloa & D. Thomä (Eds.), Transparency, Society and Subjectivity: Critical Perspectives (pp. 369-391). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-77161-8_18

Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., … Wang, Y. (2017). Artificial intelligence in healthcare: past, present and future. Stroke and Vascular Neurology, 2 (4), 230. https://doi.org/10.1136/svn-2017-000101

Kasparov, G. (2018). Chess, a Drosophila of reasoning. Science, 362 (6419), 1087–1087. https://doi.org/10.1126/science.aaw2221

Katerelos, I. D., & Koulouris, A. G. (2004). Is prediction possible? Chaotic behavior of Multiple Equilibria Regulation Model in cellular automata topology. Complexity, 10 (1), 23–36. https://doi.org/10.1002/cplx.20052

Kauffman, S. (1996). At Home in the Universe: The Search for the Laws of Self-Organization and Complexity. New York: Oxford University Press.

Kirsten, W. (2015). Robo therapy: A new class of robots provides social and cognitive support. APA Monitor on Psychology, 46 (6), 42. https://www.apa.org/monitor/2015/06/robo-therapy.aspx

Koskinas, K. (2018). Editorial: Homo Virtualis Inaugural Issue. Homo Virtualis, 1 (1), 1-3. https://doi.org/10.12681/homvir.18621

Krittanawong, C. (2018). The rise of artificial intelligence and the uncertain future for physicians. European Journal of Internal Medicine, 48, e13–e14. https://doi.org/10.1016/j.ejim.2017.06.017

Laplace, P. S., & Dale, A. I. (1995). Philosophical Essay on Probabilities. New York: Springer-Verlag.

Luhmann, N. (2006). System as Difference. Organization, 13 (1), 37–57. https://doi.org/10.1177/1350508406059638

Luxton, D. D. (2016). Chapter 1 - An Introduction to Artificial Intelligence in Behavioral and Mental Health Care. In D. D. Luxton (Ed.), Artificial Intelligence in Behavioral and Mental Health Care (pp. 1-26). San Diego: Academic Press. https://doi.org/10.1016/B978-0-12-420248-1.00001-5

Maturana, H. R., & Varela, F. J. (1992). The tree of knowledge: the biological roots of human understanding. Boston : Shambhala; New York: Distributed in the U.S. by Random House.

Meadows, D. H., & Wright, D. (2009). Thinking in Systems: A Primer. White River Junction, Vt.: Chelsea Green Pub.

Miller, D. D., & Brown, E. W. (2018). Artificial Intelligence in Medical Practice: The Question to the Answer? The American Journal of Medicine, 131 (2), 129–133. https://doi.org/10.1016/j.amjmed.2017.10.035

Mitchell, M. (2009). Complexity: A Guided Tour. Oxford; New York: Oxford University Press.

Peek, N., Combi, C., Marin, R., & Bellazzi, R. (2015). Thirty years of artificial intelligence in medicine (AIME) conferences: A review of research themes. Artificial Intelligence in Medicine AIME 2013, 65 (1), 61-73. https://doi.org/10.1016/j.artmed.2015.07.003

Prigogine, I., & Stengers, I. (1997). The End of Certainty. Time, Chaos, and the New Laws of Nature. New York: Free Press.

Sawyer, R. K. (2005). Social Emergence: Societies as Complex Systems. Cambridge; New York: Cambridge University Press.

Stix, E. (2018). Search Queries of Visitors Who Landed at the Online Litmag The Big Ugly Review, but Who, We Are Pretty Sure, Were Looking for Something Else. In The Electronic Frontier Foundation (Ed.), McSweeney’s 54: End of Trust (pp. 109-113). San Francisco: McSweeney’s Publishing. Retrieved from https://www.eff.org/the-end-of-trust.

Strogatz, S. (2018, December 26). One Giant Step for a Chess-Playing Machine: The stunning success of AlphaZero, a deep-learning algorithm, heralds a new age of insight - one that, for humans, may not last long. The New York Times. Retrieved from https://www.nytimes.com/2018/12/26/science/chess-artificial-intelligence.html.

Titano, J. J., Badgeley, M., Schefflein, J., Pain, M., Su, A., Cai, M., … Oermann, E. K. (2018). Automated deep-neural-network surveillance of cranial images for acute neurologic events. Nature Medicine, 24 (9), 1337-1341. https://doi.org/10.1038/s41591-018-0147-y

Tsekeris, C. (2018). Industry 4.0 and the digitalisation of society: Curse or cure? Homo Virtualis, 1 (1), 4-12. https://doi.org/10.12681/homvir.18622

Vakali, E., & Brailas, A. (2018). “Me and my students’’ smartphones in the classroom": A case study using arts-based methods.” Homo Virtualis, 1 (1), 35. https://doi.org/10.12681/homvir.19070


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