Bias detection in generative AI: Practical ways to find and fix it

Graphic depicts a hand selecting from a mix of fruits to illustrate bias detection in generative AI, where diversity must be balanced and fairness preserved.

Protection: Adversarial testing surfaces unfair behavior Common bias patterns: Prompt-induced harms (e.g., stereotyping a profession by gender), jailbreaks that elicit unsafe content about protected classes, or unequal refusal behaviors by demographic term. How to combat it: Run red-teaming at scale with targeted attack sets: protected-class substitutions, counterfactual prompts (“they/them” → “he/him”), and policy stress tests […]

Sigma AI defines new standards for quality in generative AI

Graphic depicts a laptop open to a data validation task, indicating how Sigma AI’s human annotation supports truth validation in generative AI

As enterprises face increased risk from hallucinations and misinformation, Sigma Truth evolves benchmarks beyond accuracy PRESS RELEASE: MIAMI – September 2, 2025 – Sigma AI, The Human Context Company and a global leader in human‑in‑the‑loop data annotation, today announced new standards for evaluating and improving the quality of generative AI outputs. As enterprises rapidly adopt […]

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