A Study on the Application of Artificial Intelligence in Ecological Design
This work addresses the problem of integrating AI into ecological design for artists, designers, and environmental stewards, offering a novel but incremental approach by building on existing prototypes.
The paper tackles the problem of shifting human-nature relationships from dominance to interdependence by proposing a new ecological-design paradigm where AI mediates interactions with non-human life forms, and it demonstrates through case studies that AI expands creative methods and reframes ecological design theory and practice.
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.