Workshops, talks, and gatherings to get you out into Cambridge.
Nicholas Caputo, an AI governance researcher at Johns Hopkins and the Oxford Martin initiative, and Harvard Law lecturer Jordi Weinstock will explore how legal theory can guide AI constitutions, from authority and conflicting principles to consent and government oversight. Their discussion will draw on Caputo’s research on AI alignment and Weinstock’s experience reviewing Claude’s constitution.
Explore eventDrawing on ethnographic research, creative practice, and community-engaged scholarship, Jabari Evans will explore hip-hop as civic media that helps urban communities create knowledge, build networks, and shape public visibility. He will connect these practices to debates over digital platforms, AI, and the clout economy, and whose voices and values will define future technologies.
Explore eventOnkar Gujral will explore how sparse dictionary learning can make protein language models more interpretable, revealing biological concepts and potentially new scientific insights. The talk will also examine emergent mathematical relationships in knot-class models and present a result extending the functoriality of Khovanov homology to immersed surfaces.
Explore eventMIT Professor George Barbastathis, Ralph E. and Eloise F. Cross Professor of Manufacturing and Fellow of Optica and SPIE, will explore what machine learning has taught us about computational imaging, and what machines learn from optical physics. The seminar will highlight neural-network approaches to challenging inverse problems, including imaging phenomena with limited data, light, and time.
Explore eventHarvard Kennedy School lecturer and MIT research affiliate Mark Fagan will lead an eight-part AI for Impact Lab series covering AI fundamentals, prompt engineering, developer showcases, hands-on tool building, and career readiness. Designed for all experience levels, the program will help MIT community members develop practical skills and explore AI’s real-world potential and risks.
Explore eventA panel of career, AI, entrepreneurship, and community-building leaders will explore how automation can make work more meaningful, flexible, and humane, not just reduce costs and jobs. Speakers include Jefferson University career center director Chris Miciek and founders and operators from Breakroom Buddha, Fabrik, and Growbie.
Explore eventMIT’s AI for Impact Lab series will offer a practical path from AI basics and prompt engineering to building tools for learning and image analysis, with sessions on video, mapping, and AI’s impact on careers. Led by Mark Fagan, a Harvard Kennedy School lecturer and MIT research affiliate, the program will welcome participants with no prior technical experience.
Explore eventMark Ethier will explore how AI-era tools can support musicians, drawing on his experience cofounding iZotope and leading Berklee’s Emerging Artistic Technology Lab. An MIT graduate in music and computer science, he helped guide iZotope to multiple TEC Awards, two Primetime Engineering Emmys, and an Academy Award for Scientific and Engineering Achievement.
Explore eventAuthors contributing to the new issue of *Dædalus* will explore how artificial intelligence intersects with narrative, science, and humanity. The conversation will bring together perspectives from across these fields.
Explore eventMIT professor and author Sherry Turkle and tech and culture critic Bridget Todd will examine how AI companionship may reshape human agency, emotional reliance, and relationships, drawing on research and personal experience. Moderated by Dean Sean Kelly, the conversation will explore the responsibilities of technology companies, public institutions, and users.
Explore eventSwissnex and Frontiers will explore how open science, FAIR research outputs, and AI are reshaping scientific publishing, including a demonstration of integrated data generation, compliance, peer review, and dissemination. Speakers from Harvard, Boston University, Suffolk University, and Frontiers will bring expertise in journal editing, research data management, research administration, science journalism, and AI-ready data.
Explore event
