Date: 2025-03-07 / 2:00 - 3:00 PM
Location: White Hall 100
This talk explores how Artificial Intelligence (AI) can enhance three critical phases of the scientific research lifecycle. First, we examine how AI transforms scientific writing from a time-intensive drafting process to a collaborative refinement approach, mirroring the professor-student relationship while addressing concerns about language barriers and time constraints. Second, we tackle the growing challenge of literature surveys in an era of exponential publication growth, proposing specialized AI research assistants that can help identify relevant works, synthesize knowledge across disciplines, and uncover "sleeping beauties" in scientific literature. Finally, we address the peer review crisis by demonstrating how AI can streamline meta-reviews through effective summarization, allowing human reviewers to focus on conflict resolution and nuanced judgment. Throughout, we emphasize a human-AI collaboration that maintains research integrity while increasing efficiency and accessibility.