Pinisi Journal of Social Science
Vol 5, No 2 (2026)

Artificial Intelligence and the Demodelling of Nature

Peter Piringkwap Maigari (Augustinian Institute)



Article Info

Publish Date
02 Nov 2026

Abstract

The growing influence of artificial intelligence has transformed the ways human beings observe, interpret, and interact with the natural world. Through data collection, computational modelling, environmental monitoring, and AI-assisted predictions, technology has expanded the possibilities of understanding and responding to ecological challenges. However, these developments also raise philosophical questions about the relationship between technological representations and natural reality. This article examines the possibility that the increasing mediation of nature through computational systems may obscure its independent existence, complexity, and ecological autonomy. It develops a threefold philosophical framework consisting of the Independence Model, Demodelling, and Remodelling. The Independence Model presents nature as an independently existing reality whose existence and processes are not exhausted by human representations, and it defends this position against constructivist objections. Demodelling describes the reduction of nature's complexity to technological representations that may eventually displace the reality they are intended to explain. Remodelling proposes an ethical and philosophical reorientation of technological development towards ecological responsibility and stewardship. Drawing on environmental philosophy, critical AI studies, and sustainable computing research, the article argues that AI should serve as an instrument for understanding and protecting nature rather than becoming a substitute for nature itself. It concludes that technological progress must remain accountable to the ecological reality upon which human life and technological systems depend.

Copyrights © 2026






Journal Info

Abbrev

pjss

Publisher

Subject

Social Sciences Other

Description

Pinisi Journal of Social Science. Published by the peer review process and open access with p-ISSN: 2830-2494 and e-ISSN: 2829-9256. Pinisi Journal of Social Science. Intended as a media of information and arena of philosophical, theoretical, methodological debates related to social science issues . ...