Special Subject: Architecture Studies — Advanced Workshop in Writing for Architecture
AI technology is being developed, deployed, and used in a growing number of domains to perform complex tasks such as driving cars and speech recognition; actions that could only have been performed in the past by humans. A recent study by McKinsey Global Institute estimates that about 70% of companies will have adopted at least one type of AI technology by 2030, and that 60% of current occupations can be automated in the next 10 years. Therefore, AI could potentially become the most disruptive technology in human history and will have profound impacts on every aspect of our lives, especially on the technology design and labor market.
Recognizing the critical role that AI will play in defining the future not only of technology, but also geopolitical interactions, many countries now regard AI as a national priority. The United States launched the American Artificial Intelligence Initiative in 2019 with the mission to promote its leadership in AI research, development, and application. One of the eight national strategies identified in this initiative is to “provide education and training opportunities to prepare the American workforce for the new era of AI”.
X Machine is a mini accelerator workshop course designed to unite computer science and design/architecture together to create innovative and impactful technological solutions to problems in the built and human environment. This half semester course promotes the development of strategic thinking and technical exploration in the realm of AI, with a focus on problem framing and early-stage ideation. The course will provide students with an opportunity to extend a foundational knowledge of AI within an interdisciplinary context. Working in small teams, students will incorporate design thinking approaches that put the user at the center of the creative process as they develop AI-empowered technological solutions. Teams will work on the ideation and conceptualization of either a product, process, or service-based solution that solves real world problems. Students will learn how to design and create a prototype, learn how to maximize their engage with their users/customers, and learn how to determine the value proposition that will make the startup successful.
By the end of this class, student will be able to develop a conceptual business plan for an AI-based technology solution and apply for other programs at MIT such as Sandbox, DesignX, The Engine, etc.