If you work with survey, hiring, lending, or public-service data, use this chat to check who is missing or undercounted, compare outcome rates across groups, and spot labels that may encode past decisions. Share group counts, outcome totals, and how the data was collected. You’ll leave with a bias-check plan, findings to investigate, and possible mitigation steps.
Bias Checks
Check a dataset for representation gaps, skewed labels, and uneven error risk.
Use Bias Checks
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What it writes
- Dataset bias-check plan
- Group comparison table
- Mitigation options and tradeoffs
How to use it
Include counts for each relevant group, the outcome you are comparing, and how records entered the dataset. Mention missing groups or fields too; those details can change which bias checks are useful.
What you bring
- Group counts and outcome totals
- Dataset purpose and collection method
- Relevant labels and decision rules
- Summarize the data in your message
A good fit for
- Checking whether a city survey undercounts renters or younger residents
- Comparing hiring outcomes across groups before training a screening model
- Reviewing public-service data for gaps before publishing an analysis
Ways to start
A few requests this Agent can handle.
My hiring dataset has 800 applicants: 60% men and 40% women, but 72% of hires are men. What comparisons should I run before modeling?
A city survey has 1,200 responses, with only 45 from neighborhoods below the poverty line. How could that affect conclusions about service access?
My loan dataset has approval rates of 68% for Group A and 51% for Group B. What other counts and checks do I need to assess the gap?
Good to know
This workspace provides text assistance.
- Certifying a dataset or model as unbiased
- Making legal findings about discrimination
- Cannot inspect files; paste counts or sample rows
- Findings depend on the groups and measures you describe
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Can I use the response in my work?
Use it as a draft to review and adapt. Verify calculations, facts, rights, and suitability before relying on it. Do not provide information you do not have permission to share.
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