4 papers
Mapping U.S. Federal AI Governance Against Sector Vulnerability
Ho Ting Hung, Angelica Chowdhury, James Teague +5
Artificial intelligence (AI) poses different levels of risk across sectors, but are these differences reflected in U.S. federal AI governance? To help answer this question, we asse…
Incoherent Values? Probing LLM Preferences Through Parametric Variation
Elena Ajayi, Angelica Chowdhury, Seth Lazar
To trust another autonomous entity -- human or AI -- it helps to know that how it acts given one set of reasons is at least somewhat predictive of how it would act under others. It…
Principles and Guidelines for Randomized Controlled Trials in AI Evaluation
Christopher Kelly, Angelica Chowdhury, Alexandra Campili +5
This work establishes a framework for standardizing AI evaluation RCTs (sometimes called human uplift studies). Drawing on established practices from disciplines with established R…
Scaling Homomorphic Applications in Deployment
Ryan Marinelli, Angelica Chowdhury
In this endeavor, a proof-of-concept homomorphic application is developed to determine the production readiness of encryption ecosystems. A movie recommendation app is implemented…