MIT Generative AI Impact Consortium (MGAIC)

As we see all around us, generative AI is transforming industries, enhancing human creativity and opening new scientific frontiers – a revolution that has important roots in decades of AI innovation from the people of MIT. Supporting both research and innovation, the MIT Generative AI Impact Consortium (MGAIC) will bring MIT researchers together with industry leaders to explore how generative AI can spawn transformative solutions for real-world challenges, and to help ensure that its societal impact is broadly beneficial.

MGAIC will actively engage faculty in several different ways. Through an open call for proposals, it will fund the best ideas in the application of generative AI as well as support focused projects with consortium member companies. The consortium will also engage the community through student activities, workshops and an annual event, and provide open-source solutions to the world.

The consortium will focus on three high-impact areas:
(1) Innovative applications of generative AI across many domains that foster collaboration between humans and AI;
(2) Insights into the interplay between AI and human behavior, with the aim of amplifying benefits and addressing risks; and
(3) Cross-disciplinary research to advance both the technology and its role in enhancing human flourishing.

The MIT Generative AI Impact Consortium aims to harness the transformative power of artificial intelligence for societal good, tackling challenges before they shape the future in unintended ways.

THis Presidential initiative will be led by MIT’s Office of Innovation and Strategy, in collaboration with the MIT Stephen A. Schwarzman College of Computing, MIT Sloan School of Management, School of Architecture and Planning, School of Engineering, School of Humanities, Arts, and Social Sciences, and School of Science, the MIT Generative AI Impact Consortium is driven by a set of inspiring and focused objectives aimed at harnessing the full potential of generative AI.

Key goals include:

(*) Focus on the most urgent applications of generative AI across a range of domains: life sciences, health, material science, climate and sustainability, linguistics, manufacturing, finance, business, media, education, and more.
(*) Envision the future of education and work enabled by generative AI applications.
(*) Develop a better understanding of how advances in both fundamentals of generative AI and its applications will have broader societal impacts.
(*) Educate global business leaders and employees on generative AI uses and applications.
(*) Produce open-source solutions to the world.

The Generative AI Impact Consortium operates under a two-tiered membership model, with all members getting exposure to MIT’s leading researchers and students working on generative AI. All research resulting from consortium projects will be openly released and accessible.