About MGAIC

Discover how MGAIC brings together bold ideas, open collaboration, and cross-disciplinary research to shape the future of generative AI.

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Mission & Vision

The MIT Generative AI Impact Consortium (MGAIC) brings together faculty, students, and industry partners to harness the power of generative AI for the public good.

The MIT Generative AI Impact Consortium (MGAIC) brings MIT researchers together with industry leaders to explore how generative AI can spawn transformative solutions for real-world challenges. Cross-disciplinary and open-source, MGAIC’s goals are to enhance and advance technology at the intersection of AI and areas such as healthcare, education, design, and business. Supporting research and innovation through collaborative endeavors, MGAIC aims to ensure that generative AI’s societal impact is beneficial for all.

What Makes MGAIC Different?

Cross-Disciplinary by Design

From computer science and design to law, education, and the arts, MGAIC unites researchers across all five MIT schools and the Schwarzman College of Computing. This breadth enables us to explore generative AI not just as a technical breakthrough, but as a force shaping society.

Built on Open-Source Principles

We are committed to producing open-source models, tools, and research outputs that benefit the wider world. Our work is transparent, shareable, and designed to empower others—advancing the public interest beyond institutional boundaries.

Problem-First, Impact-Focused

We start with real-world challenges—from climate to health to workforce development—and form research collaborations around solving them. Founding members help shape these problem statements and contribute to scalable, deployable solutions.

FAQs

Who can participate in MGAIC?

MGAIC is open to faculty, researchers, and students from across MIT. We also welcome new industry, nonprofit, and public sector partners aligned with our mission.

What kinds of projects does MGAIC support?

Projects span disciplines and domains—from developing new generative models and applications to investigating their ethical, economic, and social impacts. All projects aim to produce open-source results and real-world impact.

How is MGAIC different from other AI consortia?

We are uniquely rooted in MIT’s cross-disciplinary strengths, and we emphasize open-source, problem-first collaboration across sectors. Our model brings together technologists, humanists, and industry leaders to co-create solutions.

How can I learn more or get involved?

Email us at mitgenai@mit.edu to connect. We also host regular info sessions, workshops, and symposia—sign up for updates on our Events page.

Leadership & Governance

MGAIC is led by Anantha P. Chandrakasan, Provost, and the Vannevar Bush Professor of Electrical Engineering and Computer Science, and administered by the Stephen A. Schwarzman College of Computing. Our leadership team and oversight committee contain representatives from all five schools and the college, exemplifying our commitment to engaging in cross-Institute, collaborative research.