Get diverse human feedback to ensure fair, reliable AI systems—in hours.
Why Prolific for bias testing?
Overview
Finding bias in AI systems goes beyond metrics. You need real, diverse perspectives to identify unfair treatment of different user groups.
By reviewing model outputs across demographics, you can catch training data gaps, uncover potential harms, and build AI systems that serve everyone responsibly.
Challenge
Teams face three key barriers when testing for bias: limited access to diverse feedback, delays when scaling across multiple demographics, and inconsistent data quality.
If these challenges aren’t solved, harmful biases will remain undetected, risking reputational damage and reinforcing systemic inequities.
Solution
Prolific removes these barriers with instant access to our 200k+ global community.
Use advanced prescreeners and custom targeting to run demographic‑specific tests at scale. With built‑in quality controls and a flexible API, you’ll get reliable, actionable insights fast—so you can mitigate bias and launch with confidence.
How fast-moving AI teams use Prolific
Trusted by AI/ML developers, researchers, and leading organizations across industries
High-skilled annotators
Shovels used Prolific to find high-skilled, specialist participants to label building permits. These labels form the basis of quality datasets that become a baseline for the accuracy of their AI model.
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Prolific’s streamlined participant management process meant the researchers could achieve a high level of engagement and satisfaction among participants. This was necessary for obtaining high-quality data.
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Research the future of work
By offering a user-friendly platform, pre-verified participants, and advanced screening options, Prolific enabled Asana to immediately customize their target audience with extreme precision.
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