The Future of Artificial Intelligence (AI) and Machine Learning (ML) in Landscape Design: A Case Study in Coastal Virginia, USA
It addresses the integration of AI in landscape design for practitioners and theorists, but it is incremental as it builds on existing theory-based endeavors with empirical evidence.
This paper tackles the application of AI and ML in landscape design by presenting a case study in Coastal Virginia, USA, using machine learning techniques to predict variables in a coastal environment, resulting in a conceptual shift where designers are reimagined as choreographers, catalyst agents, and conductors among intelligent agents.
There have been theory-based endeavours that directly engage with AI and ML in the landscape discipline. By presenting a case that uses machine learning techniques to predict variables in a coastal environment, this paper provides empirical evidence of the forthcoming cybernetic environment, in which designers are conceptualized not as authors but as choreographers, catalyst agents, and conductors among many other intelligent agents. Drawing ideas from posthumanism, this paper argues that, to truly understand the cybernetic environment, we have to take on posthumanist ethics and overcome human exceptionalism.