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 an alternative, it challenges college students to discover this and different philosophical issues by means of the lens of AI analysis. For the subsequent era 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 targets.
“You’d think about pc science and philosophy are fairly far aside, however they’ve at all times intersected. The technical components of philosophy actually overlap with AI, particularly early AI,” says course teacher Leslie Kaelbling, the Panasonic Professor of Laptop 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 accessible 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 Laptop Science (EECS), who teaches the category with Kaelbling, notes that the 2 disciplines are extra aligned than individuals may think, including that the “variations are in emphasis and perspective.”
Instruments for additional theoretical thinking
Provided for the primary time in fall 2025, Kaelbling and Hedden created AI and Rationality as a part of the Frequent Floor for Computing Training, a cross-cutting initiative of the MIT Schwarzman Faculty of Computing that brings a number of departments collectively to develop and train new programs and launch new packages that mix computing with different disciplines.
With over two dozen college students registered, AI and Rationality is one among two Frequent Floor courses with a basis in philosophy, the opposite being 6.C40/24.C40 (Ethics of Computing).
Whereas Ethics of Computing explores issues 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 totally autonomous and clever agent, and the ascription of beliefs and needs onto these methods.
As a result of AI is extraordinarily broad in its implementation and every use case raises totally different points, Kaelbling and Hedden brainstormed subjects that might 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 study the assumptions they’re making,” Kaelbling says. “Excited about issues from a philosophical perspective helps individuals again up and perceive higher the way 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 crucial method as they exit into their chosen careers, whether or not they’re in analysis or trade or authorities.”
The fast progress of AI additionally presents a brand new set of challenges in academia. Predicting what college students could have to know 5 years from now’s one thing Kaelbling sees as an unattainable process. “What we have to do is give them the instruments at the next 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
Thus far, the category has drawn college students from a variety of disciplines — from these firmly grounded in computing to others fascinated about exploring how AI intersects with their very own fields of research.
All through the semester’s studying and discussions, college students grappled with totally 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 entire can of worms as as to if, is it people which might be irrational? Is it the machine studying methods that we designed which might be 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 by which the definition of a rational agent may change relying on the self-discipline. “Representing what every discipline means by rationality in a proper framework, makes it clear precisely which assumptions are to be shared, and which had been totally 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 totally 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 at all times felt like a pleasant mixture of theoretical and utilized from the truth that they should minimize throughout fields.”
In response to Okoroafor, Kaelbling and Hedden demonstrated an apparent synergy between fields, saying that it felt as in the event that they had been partaking 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 method of unusual you.”
