Workplace fairness often depends on whether similar situations are handled similarly across employees. Comparative baseline prompting asks AI to test whether the same circumstances produce the same outcomes regardless of who's involved—revealing when policies are applied unevenly.
Comparative baseline prompting is a technique where an employee uses AI to establish what standard treatment, workload, or feedback looks like for peers in similar roles, then compares that baseline against their own documented experience to surface potential disparities.
By prompting an AI with anonymized comparative data, workers can identify whether they are being held to a different standard, assigned disproportionate work, or excluded from opportunities in ways that may reflect discriminatory treatment, creating a factual foundation for escalating a concern to HR or an attorney.
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