🌐 International · AI Risk Register

AI Risk Register for INTL

A structured AI risk register delivered in two formats — Excel (.xlsx) for live editing inside your risk-management workflow, and Word (.docx) of the same register for board sign-off. Both contain the same sector-specific AI risks, 5×5 likelihood × impact scoring, mitigations per risk, named owners, and regulatory cross-references.

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 Risk Register approaches this

You select jurisdiction, industry, and risk appetite. The tool produces a register pre-populated with 12 to 18 AI risks relevant to your sector — each already scored on a 5×5 matrix with suggested mitigations.

You receive the same register in both .xlsx and .docx formats: the spreadsheet for live editing and ongoing risk-committee work, and the Word document for paper sign-off and board appendices. Add organisation-specific risks, adjust scores, assign owners, and set review cadence — the starting point is a credible draft, not a blank template.

What you get

  • Arrives as a working spreadsheet — not a PDF — so it fits straight into your risk workflow.
  • Each risk carries the regulatory obligation it maps to, so reviewers can trace the "why" without re-researching.
  • Bias considerations drawn from published evidence relevant to your sector, surfacing failure modes that generic templates miss.
  • Designed to be signed off by a qualified risk owner — the output does not replace that review, it accelerates the drafting stage.

Ready to generate?

$29 · one-time — answer a 6-question intake (including jurisdiction = INTL), and download your tailored document immediately.

Generate Risk Register

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

AI-assisted drafting aid. The output references INTL regulation but is not legal advice. Have a qualified legal, compliance, or regulatory professional review before implementation.