Machine Learning: Architecture in the age of Artificial Intelligence

‘The advent of machine learning-based AI systems demandsthat our industry does not just share toys, but builds a new sandbox in whichto play with them.’ – Phil Bernstein The profession is changing. A new era is rapidly approachingwhen computers will not merely be instruments for data creation, manipulationand management, but, empowered by artificial intelligence, they will becomeagents of design themselves. Architects need a strategy for facing the opportunitiesand threats of these emergent capabilities or risk being left behind.

Architecture’s best-known technologist, Phil Bernstein,provides that strategy. Divided into three key sections – Process,Relationships and Results – Machine Learning lays out an approach foranticipating, understanding and managing a world in which computers oftenaugment, but may well also supplant, knowledge workers like architects. Armed withthis insight, practices can take full advantage of the new technologies tofuture-proof their business.

Features chapters on:

·Professionalism

·Tools and technologies

·Laws, policy and risk

·Delivery, means and methods

·Creating, consuming and curating data

·Value propositions and business models.