To what extent can a man-made system be rational?
A brand new MIT course, 6.S044/24.S00 (AI and Rationality), doesn’t search to reply this query. As a substitute, it challenges college students to discover this and different philosophical issues by way of the lens of AI analysis. For the subsequent technology of students, ideas of rationality and company may show integral in AI decision-making, particularly when influenced by how people perceive their very own cognitive limits and their constrained, subjective views of what’s or isn’t rational.
This inquiry is rooted in a deep relationship between pc science and philosophy, which have lengthy collaborated in formalizing what it’s to type rational beliefs, be taught from expertise, and make rational selections in pursuit of 1’s objectives.
“You’d think about pc science and philosophy are fairly far aside, however they’ve all the time intersected. The technical elements of philosophy actually overlap with AI, particularly early AI,” says course teacher Leslie Kaelbling, the Panasonic Professor of Pc Science and Engineering at MIT, calling to thoughts Alan Turing, who was each a pc scientist and a thinker. Kaelbling herself holds an undergraduate diploma in philosophy from Stanford College, noting that pc science wasn’t obtainable as a significant on the time.
Brian Hedden, a professor within the Division of Linguistics and Philosophy, holding an MIT Schwarzman Faculty of Computing shared place with the Division of Electrical Engineering and Pc Science (EECS), who teaches the category with Kaelbling, notes that the 2 disciplines are extra aligned than folks may think, including that the “variations are in emphasis and perspective.”
Instruments for additional theoretical thinking
Supplied for the primary time in fall 2025, Kaelbling and Hedden created AI and Rationality as a part of the Common Ground for Computing Education, a cross-cutting initiative of the MIT Schwarzman Faculty of Computing that brings a number of departments collectively to develop and educate new programs and launch new packages that mix computing with different disciplines.
With over two dozen college students registered, AI and Rationality is certainly one of two Frequent Floor lessons with a basis in philosophy, the opposite being 6.C40/24.C40 (Ethics of Computing).
Whereas Ethics of Computing explores considerations in regards to the societal impacts of quickly advancing expertise, AI and Rationality examines the disputed definition of rationality by contemplating a number of elements: the character of rational company, the idea of a completely autonomous and clever agent, and the ascription of beliefs and wishes onto these programs.
As a result of AI is extraordinarily broad in its implementation and every use case raises completely different points, Kaelbling and Hedden brainstormed subjects that would present fruitful dialogue and engagement between the 2 views of pc science and philosophy.
“It is vital after I work with college students finding out machine studying or robotics that they step again a bit and look at the assumptions they’re making,” Kaelbling says. “Serious about issues from a philosophical perspective helps folks again up and perceive higher easy methods to situate their work in precise context.”
Each instructors stress that this isn’t a course that gives concrete solutions to questions on what it means to engineer a rational agent.
Hedden says, “I see the course as constructing their foundations. We’re not giving them a physique of doctrine to be taught and memorize after which apply. We’re equipping them with instruments to consider issues in a important means as they exit into their chosen careers, whether or not they’re in analysis or trade or authorities.”
The speedy progress of AI additionally presents a brand new set of challenges in academia. Predicting what college students might have to know 5 years from now could be one thing Kaelbling sees as an not possible activity. “What we have to do is give them the instruments at a better stage — the habits of thoughts, the methods of considering — that may assist them method the stuff that we actually can’t anticipate proper now,” she says.
Mixing disciplines and questioning assumptions
To date, the category has drawn college students from a variety of disciplines — from these firmly grounded in computing to others involved in exploring how AI intersects with their very own fields of research.
All through the semester’s studying and discussions, college students grappled with completely different definitions of rationality and the way they pushed again in opposition to assumptions of their fields.
On what shocked her in regards to the course, Amanda Paredes Rioboo, a senior in EECS, says, “We’re sort of taught that math and logic are this golden normal or fact. This class confirmed us a wide range of examples that people act inconsistently with these mathematical and logical frameworks. We opened up this complete can of worms as as to whether, is it people which are irrational? Is it the machine studying programs that we designed which are irrational? Is it math and logic itself?”
Junior Okoroafor, a PhD scholar within the Division of Mind and Cognitive Sciences, was appreciative of the category’s challenges and the methods during which the definition of a rational agent may change relying on the self-discipline. “Representing what every area means by rationality in a proper framework, makes it clear precisely which assumptions are to be shared, and which had been completely different, throughout fields.”
The co-teaching, collaborative construction of the course, as with all Frequent Floor endeavors, gave college students and the instructors alternatives to listen to completely different views in real-time.
For Paredes Rioboo, that is her third Frequent Floor course. She says, “I actually just like the interdisciplinary facet. They’ve all the time felt like a pleasant mixture of theoretical and utilized from the truth that they should reduce throughout fields.”
In line with Okoroafor, Kaelbling and Hedden demonstrated an apparent synergy between fields, saying that it felt as in the event that they had been participating and studying together with the category. How pc science and philosophy can be utilized to tell one another allowed him to grasp their commonality and invaluable views on intersecting points.
He provides, “philosophy additionally has a means of unusual you.”
