MIT SHASS Dean Explains Why Humanities Matter More Than Ever in the Age of AI

MIT believes that in the age of AI, the main question for universities is not simply to update curricula, but to redefine what exactly students will spend their time and years of study on. Augustin Rayo, Dean of the School of Humanities, Arts and Social Sciences, argues that the value of higher education now increasingly depends on whether a university can develop not only technical skills in students, but also judgment, moral orientation, critical thinking, and the ability to see the social consequences of technology. The occasion was SHASS's 75th anniversary.

The school was founded in 1950 following conclusions from an MIT committee that in 1949 had stated: the institute cannot be strong only in science and engineering—it needs real integration of technical and humanistic knowledge. At that time, the discussion was about the post-war world and the dawn of the nuclear age; now, according to Rayo, the university finds itself once again at a moment when a technological leap is transforming not only the economy but also our very conception of human life. In his assessment, AI simultaneously restructures the labor market, the familiar trajectories of financial stability, and people's everyday experience—from how we build relationships to what we pay attention to and what brings us joy.

Therefore, for MIT, the question "how do we integrate AI into education" is secondary to the question "what education actually has real value in a world where some intellectual work is being automated." The answer that SHASS proposes is to prepare students with flexible and broad thinking: people who not only know how to complete tasks but understand which tasks are truly worth completing. Rayo emphasizes that for MIT this is not a nice complement to the engineering core but part of the basic model of education.

To earn a bachelor's degree, MIT students must still complete at least eight courses from the HASS block—humanities, arts, and social sciences. Philosophy, economics, political science, literature, history, music, and anthropology, in the dean's view, develop precisely those qualities that are hardest to replace with algorithms: the ability to interpret the world, formulate values, understand institutions and culture, speak clearly about one's work, and give it meaning. One student, according to his account, formulated this idea well: engineering gives the tools to measure the world, while humanistic disciplines teach you to interpret it.

Responding to criticism that strengthening the humanities component might weaken MIT's technological leadership, Rayo argues the opposite: the AI age forces us to redefine what it means to be a strong engineer. The focus is no longer just on code, models, and computation, but also on questions of bias, accountability, regulation, and the impact of automation on society. He reminds us that MIT remains an important channel for social mobility and entrepreneurship in the United States, and its graduates and companies that have grown around the institute have brought billions of dollars to the American economy.

For this reason, he says, MIT's "secret sauce" cannot be weakened—it must be adapted to the new reality. To bridge these levels, SHASS is launching the MIT Human Insight Collaborative research consortium, expanding courses on major public issues—from the resilience of democracy to climate risks and the ethics of new technologies, creating joint faculty positions with MIT Schwarzman College of Computing, and opening a master's program in Music Technology and Computation together with the School of Engineering. A separate direction involves new courses with SERC, a center focused on the social and ethical aspects of computing, so that future developers and researchers learn to see the human consequences of technical solutions in the classroom rather than after the fact.

MIT's conclusion is quite straightforward: in a world where AI is gradually taking on more routine and even complex intellectual work, a university's competitive advantage comes not only from access to computational resources and technical courses. Disciplines that teach you to doubt, assess consequences, argue, explain, and make decisions under uncertainty become equally important. For MIT this is not a turn away from technology but an attempt to preserve its social value—and to prepare graduates who will not simply use AI but set the rules for its application.