13 citations · 20 across the 3 of their papers we have counts for
4 papers
Small Models Achieve Large Language Model Performance: Evaluating Reasoning-Enabled AI for Secure Child Welfare Research
Zia Qi, Brian E. Perron, Bryan G. Victor +2
Objective: This study develops a systematic benchmarking framework for testing whether language models can accurately identify constructs of interest in child welfare records. The…
Human services organizations and the responsible integration of AI: Considering ethics and contextualizing risk(s)
Brian E. Perron, Lauri Goldkind, Zia Qi +1
This paper examines the responsible integration of artificial intelligence (AI) in human services organizations (HSOs), proposing a nuanced framework for evaluating AI applications…
AI and Cultural Context: An Empirical Investigation of Large Language Models' Performance on Chinese Social Work Professional Standards
Zia Qi, Brian E. Perron, Miao Wang +3
Objective: This study examines how well leading Chinese and Western large language models understand and apply Chinese social work principles, focusing on their foundational knowle…
A Primer on Word Embeddings: AI Techniques for Text Analysis in Social Work
Brian E. Perron, Kelley A. Rivenburgh, Bryan G. Victor +2
Word embeddings represent a transformative technology for analyzing text data in social work research, offering sophisticated tools for understanding case notes, policy documents,…