Bias in Large Language Models: Sources, Measurement, and Mitigation
Explore the sources, measurement, and mitigation of bias in Large Language Models. Learn about pro-AI bias, algorithmic aversion, and new 2026 methods for steering model behavior.
Avoiding Proxy Discrimination in LLM-Powered Decision Systems
Proxy discrimination in LLM systems hides bias behind seemingly neutral data like zip codes or job titles. Learn how these systems find hidden patterns that unfairly target protected groups-and what organizations can do to stop it.
How to Detect Implicit vs Explicit Bias in Large Language Models
Large language models can appear fair but still harbor hidden biases. Learn how to detect implicit vs explicit bias using proven methods, why bigger models are often more biased, and what companies are doing to fix it.
