Package: AIGovernance
Type: Package
Title: Statistical Auditing, Drift Monitoring and Governance Reporting
        for AI Decision Systems
Version: 0.2.0
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, hiring and other
    AI-assisted decision systems. Implements the EEOC four-fifths adverse impact rule
    (Equal Employment Opportunity Commission, 1978,
    <https://www.ecfr.gov/current/title-29/subtitle-B/chapter-XIV/part-1607>),
    NYC Local Law 144 bias audit requirements (New York City, 2023,
    <https://www.nyc.gov/site/dca/about/automated-employment-decision-tools.page>),
    and the AI Risk Management Framework checklist items from the National
    Institute of Standards and Technology
    (2023, <doi:10.6028/NIST.AI.100-1>). Optionally supports EU AI Act
    high-risk classification (European Parliament and Council, 2024,
    <https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai>).
    It also audits decision drift over time: the change in a
    decision rate is decomposed into case-mix, allocation (routing of cases to
    decision units) and rule-change components in the spirit of Kitagawa
    (1955) <doi:10.1080/01621459.1955.10501299>; net and absolute drift are
    estimated over a fixed reference case mix with overlap trimming and
    cluster bootstrap uncertainty; categorical decisions and unit-level drift
    with noise-corrected heterogeneity are supported; and a simulator with
    known drift mechanisms is included. 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
Depends: R (>= 4.1.0)
Imports: cli, rlang, stats, utils, tibble, dplyr, nnet
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-US
Config/testthat/edition: 3
URL: https://github.com/subirhait/AIGovernance
BugReports: https://github.com/subirhait/AIGovernance/issues
NeedsCompilation: no
Packaged: 2026-11-11 23:01:57 UTC; subir
Author: Subir Hait [aut, cre] (ORCID: <https://orcid.org/0009-0004-9871-9677>)
Maintainer: Subir Hait <haitsubi@msu.edu>
Config/roxygen2/version: 8.1.1
Repository: CRAN
Date/Publication: 2026-11-12 14:50:34 UTC
