Compliance-as-Code for AI-Driven Identity Systems: Supplementary Materials

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Authors: Livinus Obiora Nweke, Prosper Kandabongee Yeng
Cited by: 0

Abstract

This repository contains the reproducibile artifact that was implemented in our paper titled "Compliance-as-Code for AI-Driven Identity Systems: Clause-to-Control Traceability and Machine-Readable Evidence". The package is designed so an independent party can (i) rebuild the policy bundle, (ii) start the full stack, (iii) run both workloads (MIDV-500 onboarding and OpenID4VP-shaped wallet verification), (iv) run the three RQ experiments, and (v) regenerate paper-ready tables/figures and OSCAL exports.

Fields of Study & Subjects

Access Control and Trust Digitalization Law and Regulation Blockchain Technology Applications and Security

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
19 January 2026