Cultivating Conceptual Understanding of How AI/ML Methods work Under the Hood
FOCUS QUESTIONS
IMPACTS
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Conducting interdisciplinary, niche research projects in collaboration with students
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Investigating the reasoning and affective potential of modern AI
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Building connections with leaders in AI/ML and bringing that knowledge to Babson through a speaker series
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Advancing pedagogical innovation through the design and development of educational technology
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Fostering creative, interdisciplinary collaborations across labs
INITIATIVES
Speaker Series in AI/ML
The event was organized to raise awareness about modern AI, bringing to Babson industry leaders ranging from content creators and best-selling authors to data scientists and machine learning engineers. These experts demystified how various AI and machine learning tools function under the hood, making complex concepts both accessible and engaging. The talks deepened the audience’s understanding of the technology while also highlighting its practical and ethical implications. Attendees had the opportunity to connect directly with the speakers, fostering new relationships and professional growth. As a result, the series helped build both knowledge and professional networks within the community.
Research Internships
The Research Internships initiative is created to provide students with opportunities to engage in cutting-edge, niche research exploring the vast potential of AI. With the rapid advances in AI and the widespread hype around its capabilities, these internships aim to ground student inquiry in rigorous research that explores both the promise and the limitations of AI technologies. One internship focuses on analyzing human dreams, applying modern AI and machine learning tools to explore a timeless human fascination—from ancient civilizations to psychoanalysts like Freud and Jung. Another project challenges students to rigorously test the logical reasoning capabilities of large language models by having them solve classical logical conundrums, pushing the boundaries of AI’s ability to reason beyond surface-level fluency. Additionally, an interdisciplinary internship investigates the complex life and artwork of Vincent van Gogh, applying advanced machine learning methods to analyze the relationship between his mental state throughout his life and the evolving themes in his art. Together, these research opportunities allow students to use AI to explore research problems they are passionate about, while also gaining insight into the technology’s potential and limitations.
LEADER
Engage with The Generator
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