AI Bias Risk Estimator

Estimate bias risk in a model or dataset

AI systems can produce biased outcomes, often reflecting bias in their training data, and this can cause real harm. This tool estimates bias risks in AI models and datasets, so you can identify where bias is likely and needs attention.

Why bias is a central AI risk

A model learns patterns from its data, including unfair ones, so a dataset that under-represents a group, or reflects historical discrimination, produces a model that repeats and amplifies it. Because the model looks objective, biased decisions can be applied at scale with a veneer of neutrality, which is exactly what makes AI bias dangerous. Estimating where bias is likely, from the data’s composition and the model’s use, is the first step to addressing it, through better data, fairness constraints, or human oversight. This is responsible AI practice.

Find bias before it harms

The tool runs entirely in your browser, so nothing you paste, prompts, outputs or documents, is uploaded, which matters when the input is sensitive AI data or your own content.

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