This course is a research-led investigation into how architects can meaningfully communicate with artificial intelligence, not just as a tool, but as a creative counterpart.
Students will explore a spectrum of AI-assisted design methods, whether text-to-text, text-to-image, text-to-video, text-to-3D generation, or image-to-image translation, and advanced generative design strategies, exploring how AI can intersect with architectural design from early design ideation to model enrichment and project communication.

Students will be introduced to workflows such as neural mesh manipulation, stable diffusion modeling, procedural form generation, and AI-assisted volumetric modeling. Emphasis is placed on iteration, experimentation, and speculative thinking through parametric forms, generative systems, and hybrid machine-human workflows.

In parallel with technical exploration, the course invites critical reflection on the philosophical implications of AI in design. Where does authorship begin or end? Students will grapple with questions of control, agency, unpredictability, and the shifting boundaries of creativity in a computational context. These critical reflections are paired with applied scenarios, such as facade studies, urban massing options, and automated documentation strategies, to demonstrate how AI can support both creative exploration and professional workflows.

Through progressive assignments and open-ended design research, students will develop strategies to collaborate with AI as an active participant in the design process. They will learn how to prompt, refine, and steer outputs, while cultivating an awareness of the aesthetics and logic that emerge from algorithmic systems, knowing when to learn from it, and knowing when to reject it.

No prior experience with coding or AI tools is required. Curiosity and a willingness to explore are the only prerequisites.