From the 1 of 4 linked papers with an AI index.
4 papers
AISPA: User-Centric System Prompt Auditing for Large Language Model Applications
Xiangning Lin, Shenzhe Zhu, Shu Yang +23
The paper presents AISPA, a user‑centric framework for auditing the system prompts that guide large language model behavior in commercial AI products, and reports findings from ana…
Federal Reserve Communication and the COVID-19 Pandemic
Jonathan Benchimol, Sophia Kazinnik, Yossi Saadon
In this study, we examine the Federal Reserve's communication strategies during the COVID-19 pandemic, comparing them with communication during previous periods of economic stress.…
Social Group Bias in AI Finance
Thomas R. Cook, Sophia Kazinnik
Financial institutions increasingly rely on large language models (LLMs) for high-stakes decision-making. However, these models risk perpetuating harmful biases if deployed without…
Measuring Communication Quality of Interest Rate Announcements
Jonathan Benchimol, Itamar Caspi, Sophia Kazinnik
We use text-mining techniques to measure the accessibility and quality of information within the texts of interest rate announcements published by the Bank of Israel over the past…