Artificial Intelligence and Mind-reading Machines— Towards a Future Techno-Panoptic Singularity
Artificial Intelligence and Mind-reading Machines— Towards a Future Techno-Panoptic Singularity
Author(s): Aura-Elena SchusslerSubject(s): Philosophy, Ethics / Practical Philosophy
Published by: Editura Lumen, Asociatia Lumen
Keywords: artificial intelligence; mind-reading machine; singularity; techno-panopticism; singleton;
Summary/Abstract: The present study focuses on the situation in which mind-reading machines will be connected, initially through the incorporation of weak AI, and then in conjunction to strong AI, an aspect that, ongoing, will no longer have a simple medical role, as is the case at present, but one of surveillance and monitoring of individuals—an aspect that is heading us towards a future techno-panoptic singularity. Thus, the general objective of this paper raises the problem of the ontological stability of human nature which, within the limits of the technological singularity of mind-reading machines, leads to the loss of autonomy and a reduction in freedom when it comes to human thoughts. In this paradigm, the hypothesis of a future era of technological singularity is prefigured to be a cumulation of factors in which artificial intelligence holds a dominant position in relation to the human agent, in a techno-panoptic system of human supervision, in the form of a new world order of manifestation/imposition of power—that of a “singleton.” The theoretical objective analyzes the phenomenon of “deterritorrialization” (Deleuze & Guattari, 2000, 2005) of the Foucauldian panoptic mechanism (Foucault, 1995, 2003, 2006, 2008)—which is based on the “biopolitical” system of “biopower”—and its “reterritorialization” in the “territory” of the techno-panoptic singularity, where the scenario of a strong AI “singleton” (Bostrom, 2004, 2006), represents the alienation of the Being into a hard technological determinism.
Journal: Postmodern Openings
- Issue Year: 11/2020
- Issue No: 4
- Page Range: 334-346
- Page Count: 13
- Language: English