CITATION.cff

cff-version: 1.2.0
message: "If you use this project, please cite it."
title: "AI Bias Firewall (AIBF): explainable, human-in-the-loop bias detection for ATS decisions"
abstract: >-
  A plug-in bias-detection layer for Applicant Tracking Systems that attributes
  each hiring-screening decision to merit versus protected-attribute-proxy
  features, produces an explainable bias score, flags biased decisions for human
  review, and retrains from HR feedback.
authors:
  - family-names: "Barach"
    given-names: "Jay"
    # orcid: "https://orcid.org/0000-0000-0000-0000"
version: 1.0.0
license: Apache-2.0
repository-code: "https://github.com/jbarach2012/AIBF_API"
keywords:
  - applicant tracking system
  - algorithmic bias
  - fairness
  - explainability
  - SHAP
  - recruiting