인공지능과 철학적 인간학: 인공지능과 사이보그가 던지는 철학적 물음들

Translated title of the contribution: Artificial intelligence and Philosophical Anthropology: Philosophical Questions Arisen by Artificial Intelligence and Cyborgs

Research output: Contribution to journalArticlepeer-review

Abstract

This paper deals with the effects of artificial intelligence and cyborgs on traditional philosophy and anthropology. To delve into the effects, I conducted a study on three philosophical problems, which can be named as “Platon’s problem”, ”Descartes’ problem” and “Engels’ problem”. I will use the ontological planarization as a methodology, which dealt with human, life and machine on a continuous plane. The key results are as in the following. First, artificial intelligence or cyborgs refute Platon’s thought about the original and the copies in a perspective which is different from simulacre. Because artificial intelligence or cyborgs overcome reality by copying the original impeccably. Second, cyborgs refute Descartes’ thought about body and mind by making body’s extensional boundaries hugely flexible. Third, “idealism of information”, which argues that information is everything, is still blocked by a wall of materiality. I pointed out that the perspective of information theory, which considers even a transplant or transmission of a brain or a sort of things like that possible, is ignoring a brain is an organ for moving, even though artificial intelligence and cyborgs make the importance of information clear. Lastly, a recurring image of hostile relations between human and machine stems from the Turing test which assumes a competitive scheme between human and machine. I claim that fear of domination of machine, which is produced by the hostile scheme, is not rational.
Translated title of the contributionArtificial intelligence and Philosophical Anthropology: Philosophical Questions Arisen by Artificial Intelligence and Cyborgs
Original languageKorean
Pages (from-to)202-233
Number of pages32
Journal마르크스주의 연구
Volume14
Issue number4
DOIs
StatePublished - Nov 2017

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