A Study on the Application of Artificial Intelligence in Ecological Design

TL;DR

This paper explores how artificial intelligence can transform ecological design by enabling new interactions with nature, supporting ecological restoration, and fostering sustainable ecosystems through innovative AI applications.

Contribution

It introduces a new ecological-design paradigm where AI mediates interactions with non-human life, combining artistic, scientific, and environmental approaches.

Findings

AI enhances ecological restoration techniques

AI-driven design offers new pathways for sustainable ecosystems

Case studies demonstrate AI's role in ecological data analysis and remediation

Abstract

This paper asks whether our relationship with nature can move from human dominance to genuine interdependence, and whether artificial intelligence (AI) can mediate that shift. We examine a new ecological-design paradigm in which AI interacts with non-human life forms. Through case studies we show how artists and designers apply AI for data analysis, image recognition, and ecological restoration, producing results that differ from conventional media. We argue that AI not only expands creative methods but also reframes the theory and practice of ecological design. Building on the author's prototype for AI-assisted water remediation, the study proposes design pathways that couple reinforcement learning with plant-based phytoremediation. The findings highlight AI's potential to link scientific insight, artistic practice, and environmental stewardship, offering a roadmap for future research on sustainable, technology-enabled ecosystems.