What We're Questioning

What do we want AI to be?

What is Transdisciplinary in the age of AI? How and/or why might we reimagine collaboration?

How can AI shape and expand the projects we engage in and the value of what we do?

With more automation and AI integrating into everything we do, will it create more time for people, and if so, how should we use it?

How might we reduce our industry's challenges while improving our opportunities and impact?

What forms of simulation, automation, and generative outcomes should AI be oriented toward for maximum, mutually beneficial impact?

What are we willing to let go of to have space, time, and resources to take on something new?

How might AI leverage knowledge bound in unstructured data sources like people, 3D models, and 2D drawings?

What are the value systems and scalability of AEC information? What are the training sets, and what's being left out?
Should Individual companies train their own large language, generative, and diffusion models?
Should clusters of firms collaborate, creating data lakes for access by those who contribute?
Should the AIA help coordinate larger data sets? Others?
What about industry resources, technical manuals, and accepted best practices (National Wood Flooring Association, ASTM standards for waterproofing, etc.)?

How might we evolve our value proposition as designers, architects, engineers and builders?

With the amplification of human intelligence, and creative potential, how might we work differently?

With an expanded mind and new tools and methods, how might we tackle big challenges and wicked problems?