Tag: AI ethics

How to Fix Bias in Large Language Models: Data and Training Techniques
How to Fix Bias in Large Language Models: Data and Training Techniques

Tamara Weed, Jun, 23 2026

Learn practical techniques to reduce bias in Large Language Models through data augmentation, adversarial training, and post-processing. Compare costs, accuracy trade-offs, and tools for compliant AI.

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How to Stop Proxy Discrimination in LLM Decision Systems: A Practical Guide
How to Stop Proxy Discrimination in LLM Decision Systems: A Practical Guide

Tamara Weed, Jun, 7 2026

Learn how to detect and prevent proxy discrimination in LLM decision systems. Understand why removing sensitive data fails, explore abductive explanations, and apply practical auditing steps to ensure algorithmic fairness.

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Evaluation Frameworks for Fairness in Enterprise LLM Deployments
Evaluation Frameworks for Fairness in Enterprise LLM Deployments

Tamara Weed, Mar, 14 2026

Enterprise LLM deployments need fairness evaluation frameworks to catch hidden bias before it harms users or violates regulations. Tools like FairEval and LangFair help organizations test for demographic and personality-based bias in real-world scenarios.

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