Artificial Intelligence, Machine Learning, and the Built Environment

This seminar will constitute a non-technical introduction to the state of the art in Artificial Intelligence (AI) and Machine Learning (ML), with particular emphasis on their current applications in the fields of Architecture, Landscape, Urbanism and Real State. In this seminar, you will learn the fundamentals of what AI and ML are, their differences, what types of problems they are best fit to solve, overview topics on data acquisition, parsing and training, and understand the ethical issues of bias. The seminar will be preceded by two short readings, and consist of a main lecture, followed by a hands-on conceptual exercise and a group discussion. By the end of the seminar, you will gain an understanding of how AI/ML may bring value to your own practice. This is a sponsored event by the Harvard Graduate School of Design Executive Education.