Hello everyone,

As part of a collaborative initiative involving designers, researchers, and journalists, we are delving into the potential of AI within landscape architecture, particularly for fields that prioritize sustainability, ecological balance, and community-driven values.

One of the pressing concerns we face is the dominant role of Big Tech companies in AI development, which often focuses on profit-driven goals. We are exploring how less commercially-driven fields like landscape architecture can build their own AI systems that are open-source, ethically aligned, and focused on promoting values such as environmental sustainability, community collaboration, and cultural preservation.

Given this context, we would greatly appreciate insights and discussions around the following:

• How can we ensure that AI models developed for landscape architecture are aligned with ethical goals and not swayed by the profit-driven motives typical of Big Tech?
• What strategies can be employed to mitigate the risks of Big Tech monopolizing AI advancements, particularly in fields that require a more nuanced approach to values like biodiversity and climate adaptability?
• How can we foster a community-driven approach to AI development that supports openness and sustainability, standing apart from the typical commercial AI models?

We believe there is a crucial need to develop AI that serves broader societal and environmental goals rather than just optimizing for efficiency or cost. We would love to hear your thoughts, strategic advice, or any resources you can share on this topic.

Thank you in advance for your valuable insights.

Best regards,
Simon