Tag: AI ethics
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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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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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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