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Fairshift Lab v1.1.0 — Policy Studio

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@lindgreendavid lindgreendavid released this 12 Aug 13:34
v1.1.0
281e099
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Learn about vigilant mode.

Fairshift Policy Studio makes decision assumptions explicit.

Highlights:

  • 20-seed, 72-cell benchmark across three distribution shifts, three error-cost declarations, and eight policy families
  • Accessible fairness–utility Pareto explorer with uncertainty ranges and a complete data table
  • Deterministic scenario JSON export with provenance and limitations
  • Preregistered protocol and report plus a frozen, byte-reproducible result registry
  • 100% Python statement and branch coverage; all web, accessibility, dependency, and code-scanning checks pass

Scientific boundary: synthetic, descriptive, internally verified evidence. This release is not externally peer reviewed, a policy recommendation, legal advice, fairness certification, or deployment approval.

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