Document Type
Presentation
Publication Date
8-2025
Abstract
Large-language-model (“LLM”) outputs are inevitably shaped by assumptions, biases, and attitudes rooted in racism and other systemic inequities embedded in the civil-law tradition. This Equity-in-Justice CLE focuses on helping civil legal service providers recognize and work to eliminate biases in generative AI outputs through equity-centered prompt augmentation and engineering. These small, cost-free interventions re-orient LLMs assistance toward fairness, cultural competency, and client-centered outcomes. Participants leave with an action plan for embedding anti-bias safeguards in everyday research, drafting, and client communication tasks.
Publisher
State Bar of New Mexico
Publication Title
New Mexico Civil Legal Services Provider Conference
Keywords
Artificial intelligence, AI, Practice of Law, Algorithmic Bias, AI Prompting
Recommended Citation
Verónica C. Gonzales,
Mitigating AI Bias with Prompt Augmentation,
New Mexico Civil Legal Services Provider Conference
(2025).
Available at:
https://digitalrepository.unm.edu/law_facultyscholarship/965