papers
Publications (2)
cs.AI2026
Evaluating Artificial Intelligence Through a Christian Understanding of Human Flourishing
Nicholas Skytland, Lauren Parsons, Alicia Llewellyn +5
Artificial intelligence (AI) alignment is fundamentally a formation problem, not only a safety problem. As Large Language Models (LLMs) increasingly mediate moral deliberation and…
cs.CY2020
Model-assisted cohort selection with bias analysis for generating large-scale cohorts from the EHR for oncology research
Benjamin Birnbaum, Nathan Nussbaum, Katharina Seidl-Rathkopf +7
Objective Electronic health records (EHRs) are a promising source of data for health outcomes research in oncology. A challenge in using EHR data is that selecting cohorts of patie…