Package: AIGovernance Type: Package Title: Statistical Auditing and Governance Reporting for Employment AI Systems Version: 0.1.0 Authors@R: person("Subir", "Hait", email = "haitsubi@msu.edu", role = c("aut", "cre"), comment = c(ORCID = "0009-0004-9871-9677")) Description: Provides statistical auditing, risk documentation, and reporting tools to support AI governance workflows for employment and hiring decision systems. Implements the EEOC four-fifths adverse impact rule (Equal Employment Opportunity Commission, 1978, ), NYC Local Law 144 bias audit requirements (New York City, 2023, ), and the AI Risk Management Framework checklist items from the National Institute of Standards and Technology (2023, ). Optionally supports EU AI Act high-risk classification (European Parliament and Council, 2024, ). The package does not provide legal advice or certify legal compliance; it is a statistical and documentation support tool. License: MIT + file LICENSE Encoding: UTF-8 LazyData: true RoxygenNote: 7.3.3 Depends: R (>= 4.1.0) Imports: cli, rlang, stats, tibble, dplyr Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0) VignetteBuilder: knitr Language: en-US URL: https://github.com/causalfragility-lab/AIGovernance BugReports: https://github.com/causalfragility-lab/AIGovernance/issues Repository: https://causalfragility-lab.r-universe.dev Date/Publication: 2026-05-19 14:36:59 UTC RemoteUrl: https://github.com/causalfragility-lab/aigovernance RemoteRef: HEAD RemoteSha: e6aaebb012ef67e6a9ef78150ca7c3eb802ea53e NeedsCompilation: no Packaged: 2026-07-04 05:37:09 UTC; root Author: Subir Hait [aut, cre] (ORCID: ) Maintainer: Subir Hait