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Fairness metrics calculator

Calculate selection, true-positive and false-negative rates for two customer-defined groups without deciding whether an observed difference is lawful or fair.

Working locally. Release review

Calculate selected measures from approved datasets.

US buyer group
AI governanceAI evaluation and testing
Operating model
Local deterministic calculator in release reviewcalculator
Planned USD price
$9.99per report. Release review. Checkout closed.
Working browser calculator

Calculate and inspect

Calculate selection, true-positive and false-negative rates for two customer-defined groups without deciding whether an observed difference is lawful or fair.

Opening saved inputs from this browser.

Inputs

Use counts from the same defined population, process and period.

Inspectable result

No payment is required to see the complete calculation.

Enter supported values or load the fictional example, then calculate.

Formulas

  • Selection rate = favorable outcomes divided by group records.
  • True-positive rate = true positives divided by actual positives.
  • False-negative rate = one minus the true-positive rate.
  • Selection-rate ratio = comparison selection rate divided by reference selection rate.

Decision boundary. Group definition, data quality, sample design, statistical significance and legal relevance require qualified human review.

Intended outcome

Calculate selection, true-positive and false-negative rates for two customer-defined groups without deciding whether an observed difference is lawful or fair.

The working area above saves numeric inputs in this browser and exposes every formula. It does not decide fairness, safety, compliance or release approval.

What must be ready before release?

  • A named owner has defined the task and the organization’s intended use.
  • The customer has authority to use every supplied record, source or connection.
  • Use the browser workspace only for internal preparation while its release checks remain open.

Inputs

The browser calculator accepts only the aggregate numeric inputs listed below.

  • Reference group records (required). Enter the complete assessed population for the reference group.
  • Reference group favorable outcomes (required). Enter favorable outcomes for the reference group.
  • Reference group actual positives (required). Enter records independently classified as actual positives.
  • Reference group true positives (required). Enter actual positives that received a favorable outcome.
  • Comparison group records (required). Enter the complete assessed population for the comparison group.
  • Comparison group favorable outcomes (required). Enter favorable outcomes for the comparison group.
  • Comparison group actual positives (required). Enter records independently classified as actual positives.
  • Comparison group true positives (required). Enter actual positives that received a favorable outcome.

Outputs

Every result must identify its supplied facts, assumptions and unresolved items.

  • Selection rate for each group.
  • True-positive and false-negative rates for each group.
  • Comparison-to-reference selection-rate ratio and percentage-point differences.
  • Commercial scope if accepted. One bounded check of supplied data, with results and an exportable report.

How will it work?

  1. 1
    Define the scope

    Choose the exact fairness metrics calculator task, responsible owner and intended use.

  2. 2
    Add supported inputs

    Provide only the information listed for the calculator. Unsupported material must remain unresolved.

  3. 3
    Inspect the result

    Review the result, assumptions, source basis and exceptions before relying on any output.

  4. 4
    Approve or export

    A responsible person decides whether the record is complete enough for the organization’s next step.

Questions about the tool

What does the fairness metrics calculator require?

The browser tool lists every supported input before work begins. Start with reference group records, reference group favorable outcomes, reference group actual positives, reference group true positives, and comparison group records.

What does the fairness metrics calculator produce?

It produces a complete on-screen calculation with visible formulas and a downloadable JSON calculation record. Paid document exports remain closed during release review.

Will the fairness metrics calculator make the final decision?

No. Confirm inputs and rules. Review exceptions and approve consequential actions.

Can I buy the fairness metrics calculator export?

No. The browser workspace works locally, but checkout remains closed until the release checks and commercial infrastructure pass.

What will still need review?

Confirm inputs and rules. Review exceptions and approve consequential actions.

This browser workspace does not provide legal advice, certify compliance, make a filing or authenticate a customer decision.

Unsupported cases must stop or remain visibly unresolved.

When will it be available?

The browser tool is available for local preparation during release review. No paid export or checkout is available.

Planned price $9.99 per report. Checkout closed. This planned price is not an active offer and does not create a right to purchase.

Commercial release remains closed until the database, payment and end-to-end release checks pass.

Common searches

These are recognized names and task phrases for this tool. Search uses them locally in this browser.

  • Fairness metrics calculator
  • Fairness metrics calculator
  • artificial intelligence
  • AI governance
  • machine learning
Show 4 more search terms
  • LLM
  • model governance
  • NIST AI RMF
  • AI evaluation and testing

Ask about this tool

Email the product team without sending customer records, documents or case facts.