Adejumobi Joshua leads SeqHub AI Research, contributing to the field of AI evaluation: how large language models behave with respect to bias, sycophancy, safety, and alignment. Last summer her students presented at the Women in Machine Learning workshop at NeurIPS. This summer she is inviting students into two live investigations: whether what a language model outputs corresponds to what it actually represents internally, and whether prompting alone can reduce bias in language models, or whether models are simply performing compliance because they sense they are being evaluated. Real research questions, with results that could go either way.

Dr. Kyle Sanders is a classicist who works on the strange, underexamined ancient texts that reveal what more famous ones do not. He has spent his career trying to make them accessible to anyone curious enough to read them. This summer that work meets a new tool: his students will take the Spiritual Meadow, a 7th-century Greek collection of stories about desert monks, and use AI to turn scanned pages into machine-readable text, extract the saints and places named across its stories, and map where in the ancient world these monastic encounters took place.