Prof. Gyu-Ho Shin Featured in Stories atLAS
Introduction
Professor Gyu-Ho Shin (Department of Linguistics) was recently featured in Stories atLAS: "Linguistics Meets AI at the College of Liberal Arts and Sciences."
I am developing two connected themes: AI explainability and AI literacy. Explainability asks a straightforward question: when an AI system seems to behave like a human language user, can we say how and why it is doing so? AI literacy is about using these tools responsibly—being clear about assumptions, limits, and good practice so that results are trustworthy and easy to reproduce. The questions that excite me most are practical: which parts of an AI model correspond to (operations of) linguistic features, and when do model-based measures of difficulty match what readers and listeners experience?
Professor Shin (with Prof. Liliana Sánchez, Hispanic Studies) was recently awarded an NSF grant for the project "Collaborative Research: Advancing Open-Access Resources for Languages: Investigating Evidentiality and Focus Features."
Read more from the interview with Prof. Shin at this link. Professor Shin will be teaching LING 410: AI for Language Research in spring 2026!