AI Bias Audit Framework for INTL

INTL-specific obligations covered

The output is anchored on the regulations that apply to AI deployments in INTL. The top frameworks cited:

• OECD Recommendation of the Council on AI (OECD AI Principles, 2024 update)international_framework · Voluntary

  Adherent countries and their organisations are expected to implement five value-based AI principles — inclusive growth, human rights, transparency, robustness and safety, and accountability — and to report on implementation through the OECD AI Policy Observatory.

• UN General Assembly Resolution — Seizing the Opportunities of Safe, Secure and Trustworthy Artificial Intelligence Systems for Sustainable Development (A/RES/78/265, 21 March 2024)international_resolution · Adopted

  UN member states are encouraged to develop national AI governance frameworks, engage in international cooperation on AI safety and interoperability of governance standards, and ensure AI systems are developed in a manner consistent with international human rights law.

• Council of Europe Framework Convention on AI and Human Rights (CETS No. 225, 2024)international_treaty · Open for ratification

  State parties must implement legislative or other measures to ensure AI system activities respect human rights, establish oversight and remedy mechanisms for AI-related harms, and prohibit or restrict AI activities incompatible with democracy or the rule of law.

• ISO/IEC 42001:2023 — Artificial Intelligence Management System (AIMS)international_standard · Published

  Organisations implementing ISO 42001 must establish AI governance policies and objectives, define organisational roles for AI accountability, conduct AI impact and risk assessments, and implement operational controls to address AI risks across the full AI system lifecycle.

How the AI Bias Audit Framework approaches this

You describe your organisation and AI estate, then answer 25 self-assessment questions across four phases (use-case characterisation, current bias-testing maturity, governance posture, and a 5-question sector-specific block tailored to HR / Healthcare / Financial Services / Government / Education / Insurance / Universal). The tool maps your stated posture into a structured, evidence-based bias audit framework ready for your compliance, legal, and AI-governance practitioners.

The Executive Summary Word document is a one-page sign-off artifact — Risk Classification Scorecard, top 5 bias risks tied to specific AI systems, 30/90/365-day path forward, sign-off block, embedded heatmap + doughnut + gauge charts. The detailed Excel workbook is the working remediation instrument: tier each AI tool, pre-filled audit checklist, fairness testing protocol with explicit thresholds, RACI ownership, permitted/prohibited lists, monitoring cadence, action plan, and a live Dashboard. Both are AI-assisted drafting aids intended to accelerate review by qualified practitioners.

What you get

• ✓ Two artefacts, two jobs: Executive Summary (.docx) with embedded charts for board sign-off, Detailed Workbook (.xlsx) for the working remediation tracking — no overlap, no confusion.
• ✓ Intake-driven: every gap rating, risk-tier classification, and remediation action ties back to your stated YES/NO/PARTIAL/UNSURE answer — no generic checklist boilerplate.
• ✓ Sector-specific: HR customers get NYC LL 144 + EEOC 4/5ths-rule probes; healthcare gets clinical-algorithm fairness + FDA SaMD; financial services gets ECOA / Veritas FEAT — automatic per industry.
• ✓ Live dashboard with formulas + native radar + doughnut + per-section completion that auto-refresh as you mark items Done — no regeneration needed to see remediation progress. Tailored to your jurisdiction, industry, organisation size, and risk appetite.

Ready to generate?

$39 · one-time — answer a 6-question intake (including jurisdiction = INTL), and download your tailored document immediately.

Also available framed for your sector → see industry-specific pages