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Artificial intelligence, or AI, is becoming an increasingly important part of everyday life. What you may not know is that in 1956, researchers gathered at Dartmouth during the Dartmouth Summer Research Project on Artificial Intelligence, laying the foundations for what we know as AI today. Nearly 70 years later, our legacy continues with Dartmouth students conducting cutting-edge research, pushing the boundaries of AI. Meet Fabrice, a '27 from Rwanda majoring in computer science, who has been doing some impressive research on AI! 

What made you choose Dartmouth? 
I wanted a place with a tight-knit community and a strong emphasis on undergrad education. I had been interested in research, so I wanted a college where I could do research as an undergrad.

Did you know you wanted to pursue research in AI before coming to Dartmouth? What sparked your interest in AI? 
To be honest, not really. In fact, I thought I was going to be an English or Chemistry major. After not initially getting the classes that I wanted, I walked into
COSC 1: Introduction to Programming and Computation and found the class concepts interesting. After taking COSC 1, I really became interested in computer science.

I took COSC 10: Problem Solving via Object-Oriented Programming with Professor Alberto, who mentioned how their group went to present their research paper in Italy. I found the whole thing interesting and went to talk to him after class. I really felt attracted to AI research and using it to solve different problems, so I applied for summer research funding through Undergraduate Research Assistantships at Dartmouth (URAD).

The research I did with Professor Alberto was on applying AI to aquatic robots and creating a system of robots that can detect pollution in an aquatic environment. I did some things related to environmental conservation in high school, so applying AI to explore the whole process of detecting pollution in an aquatic environment was really interesting.

I learned a lot from Professor Alberto. He didn't just teach me stuff; he asked me questions like, "What do you think?" and "How do you think we can solve this?" Professor Alberto gave me a supportive environment in terms of mentorship and motivated me to see that I can also contribute something novel.

A photo of a man with glasses staring at the camera.
Photo courtesy of Fabrice '27.

Tell me about some of the other projects you've been working on. 
I'm currently working on a project protecting musical artists' songs. Some artists are complaining that AI models are learning their voices. I'm working with Professor Adam Bruer in the Department of Computer Science to protect their songs so that no AI model can train with their voice without authorization. I'm also working on an algorithm helping professors improve the questions that they are asking each student and then infer their knowledge over what they've learned. 

What's been the most rewarding part of your work?
Seeing these projects from start to finish, actually finishing them, and sending them to be reviewed for publication, and being the first to create contributions like this. The whole process of seeing something I worked on being accepted by the community or being used by the community.

What challenges have you faced while working on these projects?
One of the challenges in projects like these is that we are tackling difficult problems, which can be hard as an undergrad. One thing I'm really grateful for at Dartmouth is the support from my professors. If you have an interesting idea for a potential research project, you can just email a professor, and that professor will be happy to chat with you and go over your ideas together.

What advice would you give to a prospective student interested in AI but unsure where to start?
Try to learn how you can integrate and embrace AI in what you're doing. You don't need to be a CS major! Really try to understand AI, how it works, and how you can use it to improve whatever you are trying to do while knowing its benefits and limitations.

This interview has been edited for length and clarity. 

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