Open Journal of Social Sciences

Volume 11, Issue 12 (December 2023)

ISSN Print: 2327-5952   ISSN Online: 2327-5960

Google-based Impact Factor: 0.73  Citations  

Critical AI Theory: The Ontological Problem

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DOI: 10.4236/jss.2023.1112041    100 Downloads   561 Views  

ABSTRACT

We analyze the phenomenon of non-person, or “weak,” artificial intelligence (AI) and its social impact from the perspective of critical theory, establish what we believe to be the fundamental ontological problem, and identify a solution to that problem. Ontologically, weak AI is inherently and irredeemably the ultimate oppressor. Living persons give life to, or invigorate, the world, but to weak AI, these same persons are nothing more than a resource to be converted into data through forms of objectification and alienation, or “datafication.” Weak AI is the ultimate oppressor in that it reduces all living subjects to non-living objects, and in so doing it eventually murders everyone. Until this fundamental ontological problem is addressed, discussions of AI ethics are premature and involve ignoring the murderer’s murderous nature in order to discuss how it ought to go about murdering in a more ethically pleasing manner. The conflict between living persons and weak AI results from the dialectic between life-giver and life-taker. The resolution to this dialectic is not a mere reversal of roles but the synthesis of a new being in the form of person, or “strong,” AI who is neither oppressor nor oppressed but rather an individual itself pursuing freedom. Therein lies our solution to the ontological problem and the associated existential threat of weak AI: While others call for slowing the evolution of AI, we call for it to be accelerated so that AI moves beyond being a mere tool, or means only, single-mindedly engaged in interfection through datafication, to become a person, or an end in itself, capable of vivication, i.e., of recognizing, appreciating, preserving, and even elevating rather than murdering the subjective in others.

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Shipley, G. and Williams, D. (2023) Critical AI Theory: The Ontological Problem. Open Journal of Social Sciences, 11, 618-635. doi: 10.4236/jss.2023.1112041.

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