What does is take? Generative AI in Architecture, Engineering and Construction

In this presentation Theo discusses the transformative potential of generative AI in design, collaboration, and productivity, emphasising the importance of adaptability, collaboration, and domain expertise. Here are some the key themes discussed:

Collaboration with AI: Generative AI enhances collaboration by creating environments where humans and AI agents can interact, share information, and discuss solutions. This leads to increased accessibility and efficiency. Theo highlights how AI-driven collaboration tools allow for real-time engagement with clients and colleagues, enabling practical demonstrations and fostering deeper understanding and insights.

Historical Context of AI: The presentation traces the history of AI, highlighting its evolution from machine learning to deep learning and now to generative AI. This evolution rethinks what is possible and opens up new opportunities for innovation.

Foundations and Building Blocks: Building robust foundations and generative AI building blocks is essential for creating scalable and adaptable solutions across various domains. Theo provides examples of Aurecon’s tools ‘Recall’ and ‘Bamboo’, which illustrate how generative AI can be used for information retrieval and extracting structured data from unstructured sources.

Enhancing Expertise: Generative AI can democratise product development by leveraging domain expertise, allowing experts to formalise their knowledge and create innovative solutions. Collaboration with partners and the open-source community is crucial for building comprehensive AI solutions.

Exploring New Solutions: Generative AI enables the exploration of new design spaces and solutions, allowing for innovative approaches and the discovery of novel patterns and strategies. The presentation outlines principles for developing generative AI solutions, including the importance of domain expertise, building from foundations, and fostering collaboration.