The HUMAN-AI.INSTITUTE Presents:

Enterprise-wide
AI risk management,
practitioner-grade.

EW-AiRM™ is the open, three-layer framework for governing AI risk across the enterprise: Built on the MIT AI Risk Repository, aligned with the EU AI Act, NIST AI RMF, ISO 42001, and the UN ECE WP.6 Declaration. Designed for boards, regulators, and the people doing the work. Augmenting your existing ERM framework rather than replacing it.

Explore the framework

More about the book ↗

ALIGNED WITH, CONTRIBUTING TO, RECOGNISED BY, and Collaborating with the likes of...

Global Use

EW-AiRM^TM is Spreading fast:

Delegates and clients have come from global banks and insurers, regulators and central banks, and standards and UN bodies.

> 500

Practitioners

> 55

Countries

> 15

Sectors + Industries

What We Do

Three core services. One framework.

Board Advisory

Independent NED-grade advisory for boards, audit committees, and AI risk functions.

Framework adoption, second-line review, and assurance design.

See consulting →

Training & Coaching

A flexible range of training & coaching options:

1-day and 2-days instructor-led courses, tailored in-house delivery and a 30 hrs Award module - all built for working teams.

See training →

Tool-augmented assessments

The EW-AiRM^TM interactive Cube, the HAiPECR^TM pre-deployment filter, the Risk<>Controls Map, the Knowledge-Bot and the Assessment Demo (Lite)

All under the companion tools tab.

See assessments →

ETHICAL OVERLAY

HAIPECR^TM. Seven dimensions. One filter that runs across all three layers.

Mapped to the UNESCO 2021 Recommendation on the Ethics of AI. Not a compliance checklist. Pre-deployment filter, continuous review lens.

H

Human oversight

Named accountability, override tested.

A

Accountability

Mapped to UNESCO P5: accountable actors.

i

Inclusivity

Embedded prerequisite, not a standalone pillar.

P

Privacy

Data protection, safety, security. incl. 2024 UNESCO Neurotech.

E

Explainability

Transparency, fairness, non-discrimination.

C

Conduct

Conduct risk of AI and humans (UN Universal Conduct Risk Paradigm).

R

Resilience

Sustainability, intergenerational rights.

Lowercase "i" is intentional. Inclusivity is a prerequisite, not a pillar.

Architectural layers

Strategic pillars

AI Black Swan categories

HAiPECR^TM dimensions

MIT risks across 7/24

Risk-to-control mappings

Display of the EW-AiRM Book's front cover

The BOOK: Enterprise-wide AI Risk Management (EW-AiRM) - A Practical Framework for Managing AI Risks

FORTHCOMING ★ WILEY FINANCE ★ November 2026

The Book.

Enterprise-Wide AI Risk Management (EW-AiRM™)

The full framework reference.

Six parts: the case for an Enterprise-wide approach; the Strategic layer, the Ethical filter HAiPECR^TM, the Operational layer, the Resilience layer (AI Black Swans and Adaptive Governance), and the Implementation / EW-AiRM^TM Road ahead. (see tab 'The Book' for further details)

Written for people who have to make this work under live regulatory scrutiny.
With forewords from the IMF and the United Nations University.

About the book

COMMON QUESTIONS

What people ask first.

How does this compare to the EU AI Act?

Complement, not duplicate. EU AI Act says what is prohibited and high-risk. EW-AiRM™ tells you how to govern what you keep.

Why MIT AI Risk Repository?

Public, peer-reviewed, CC BY 4.0. More than 1,000 risks across 7 domains and 24 subdomains. Anchors the operational layer in something that is not a private taxonomy.

Is HAiPECR a compliance checklist?

No. Ethical overlay mapped to UNESCO 2021. Pre-deployment filter, continuous review lens across all three layers.

See all FAQs →

Adopt EW-AiRM™ in your organisation.

Framework: open. Tools: operational. The Book: Nov 2026. Your journey: Start with a 30-minute conversation:

Get in touch →

See the three tiers ↗

The Human-Ai.Institute is an independent Think/Do Tank convening multilateral and multi-stakeholder dialogue on AI governance. The Institute engages with the UN, UNESCO, OECD, the EU Commission, and governments worldwide.

Home of EW-AiRM™ — the open, three-layer framework for enterprise-wide AI risk management, grounded in publicly licensed standards and aligned with UNESCO, UNECE, NIST, ISO, and the EU AI Act.

CONSULTING, TRAINING & ADVISORY

Commercial consulting, training, and advisory services are provided by De-Risking Solutions Ltd. and RiskAi.Ai

AI & TECHNOLOGY SOLUTIONS

AI, Agentic tools and technology solutions are provided by Human-Ai.Solutions.

ORGANISATIONS

The Human-Ai.Institute

is run and maintained by
De-Risking Solutions Ltd.

Email:
contact [at] human-ai.institute

Enterprise-wide AI risk management, practitioner-grade.