Environmental Design in AI
TL;DR
It is argued that Artificial Intelligence cannot be adequately understood through the traditional opposition between nature and artifact, and increasingly follows an ecological logic in which intelligent systems respond to environmental conditions, adjust to change, and expand human capacities through biological references.
Abstract
This article advances the thesis that the development of Artificial Intelligence, far from representing an absolute rupture with nature, progressively incorporates characteristics inherent to environmental design. Rather than emerging as a purely abstract creation or something detached from the natural world, many AI systems are conceived through the observation of structures, behaviors, and adaptive strategies already present in living organisms and ecosystems. In other words, this means that AI can be understood as a kind of technical continuation of environmental solutions refined by evolution itself. The article further argues that AI design increasingly follows an ecological logic in which intelligent systems respond to environmental conditions, adjust to change, and expand human capacities through biological references. Finally, it is argued that Artificial Intelligence cannot be adequately understood through the traditional opposition between nature and artifact. Because it emerges from the convergence of biological inspiration, technical infrastructures, and informational processes, AI occupies a hybrid ontological position that differs both from living organisms and from classical artifacts, thereby requiring new conceptual categories within the philosophy of technology.