CITATION.cff

cff-version: 1.2.0
title: "AVS Framework: Audit, Validation, Security for AI Employment Decision Systems"
message: "If you use this software, please cite it using these metadata."
type: software
authors:
  - given-names: Safeer
    family-names: Ahmad
    email: safeer@nautaresearchlabs.com
    affiliation: Nauta Research Labs
repository-code: "https://github.com/SafeerAhmad211/avs-framework"
url: "https://nautaresearchlabs.com"
doi: 10.5281/zenodo.21806797
identifiers:
  - type: doi
    value: 10.5281/zenodo.21806797
    description: Concept DOI, always resolving to the latest version
  - type: doi
    value: 10.5281/zenodo.21806798
    description: DOI for version 0.1.1
abstract: >-
  An open-source statistical engine for auditing AI-driven employment decision
  systems. Implements adverse impact analysis under the Uniform Guidelines on
  Employee Selection Procedures (29 C.F.R. 1607) using the four-fifths rule,
  the pooled two-proportion Z-test, and Fisher's exact test for small samples;
  black-box name-swap bias testing for resume screening models; and drift
  detection for demographic composition, score distribution, and selection
  rates over time. Designed to run on de-identified applicant flow data
  exported from any applicant tracking system, without access to vendor model
  internals.
keywords:
  - algorithmic auditing
  - adverse impact
  - employment discrimination
  - Uniform Guidelines
  - NYC Local Law 144
  - NIST AI RMF
  - responsible AI
  - I-O psychology
license: MIT
version: 0.1.1
date-released: "2026-08-05"