MIT SHASS dean explains why the humanities matter more in the age of AI

MIT believes that in the age of AI, the central question for universities is not simply how to update curricula, but how to redefine what students are actually paying for with their time and years of study. Agustin Rayo, dean of the School of Humanities, Arts, and Social Sciences, says the value of higher education increasingly depends on whether a university can develop in students not only technical skills, but also judgment, a moral compass, critical thinking and the ability to see the social consequences of technology.

The occasion is SHASS's 75th anniversary. The school was founded in 1950 after the findings of an MIT committee which had argued as early as 1949 that it was not enough for the institute to be strong in science and engineering alone; it needed real integration of technical and humanistic knowledge. Back then, the context was the postwar world and the dawn of the nuclear age. Now, according to Rayo, the university is again at a moment when a technological leap is changing not only the economy but the very idea of human life.

In his assessment, AI is simultaneously reshaping the labor market, familiar paths to financial stability and people's everyday experience, from how we build relationships to what we pay attention to and what gives us pleasure. For MIT, the question "how do we build AI into teaching" is therefore secondary to the question "what kind of education has real value in a world where part of intellectual work is being automated."

SHASS's answer is to train students to think flexibly and broadly: people who can not only carry out tasks, but also understand which tasks are actually worth doing. Rayo stresses that for MIT this is not a nice add-on to an engineering core, but part of the basic model of education. To earn a bachelor's degree, MIT students are still required to take 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 exactly the qualities that are hardest for algorithms to replace: the ability to interpret the world, articulate values, understand institutions and culture, speak clearly about one's work and give it meaning. One student, he says, put the idea well: engineering gives you the tools to measure the world, while the humanities teach you to interpret it.

To the criticism that a stronger humanities component could weaken MIT's technological leadership, Rayo answers the opposite: the age of AI forces a fresh definition of what a strong engineer is. The focus is no longer only code, models and computation, but also questions of bias, accountability, regulation and the effect of automation on society. He notes that MIT remains an important channel of social mobility and entrepreneurship in the US, and that its graduates and the companies that grew up around the institute have brought billions of dollars to the American economy. That is why, he says, MIT's "secret sauce" must not be weakened; it must be adapted to the new reality.

To connect these levels, SHASS is launching the MIT Human Insight Collaborative research consortium, expanding courses on big societal questions, from the resilience of democracy to climate risks and the ethics of new technologies, creating joint faculty positions with the MIT Schwarzman College of Computing, and has opened a master's program in Music Technology and Computation together with the School of Engineering. Another track is new classes with SERC, the center focused on the social and ethical aspects of computing, so that future developers and researchers learn to see the human consequences of technical decisions in the classroom, not after the fact.

MIT's conclusion is fairly direct: in a world where AI is gradually taking on more routine and even complex intellectual work, a university's competitive advantage is no longer just access to computing resources and technical courses. Disciplines that teach people to doubt, weigh consequences, argue, explain and make decisions under uncertainty matter no less. For MIT, this is not a turn away from technology but an attempt to preserve its social value, and to train graduates who will not just use AI but set the rules for how it is applied.