ABOUT

A practitioner-led institute for human-centred AI governance.

More than thirty years in risk and governance, five of them spent building the analytic instruments that became EW-AiRM™ and more than 10 years policy development work in the (Human and AI) conduct risk space:

The Human-Ai.Institute, a Think/Do Tank, exists to translate international AI policy into governance that actually works inside organisations. We author policies and standards, build the frameworks, write the books, train the practitioners, and audit the deployments.
Full lifecycle coverage.

OUR MISSION

Closing the gap between AI policy and AI practice.

There is no shortage of AI principles. There is a serious shortage of operational frameworks that boards, regulators, and risk practitioners can actually use. That gap is what we work in.

The Institute was founded to make enterprise AI governance practical. We are not a think tank producing white papers, and we are not a software vendor selling a platform. We are a working group of governance practitioners who build frameworks, publish books, deliver training, and audit live AI deployments inside regulated organisations.

Our flagship framework, EW-AiRM™, sits at the centre of a deliberately three-part stack. The UNECE Common Regulatory Arrangement speaks to regulators. EW-AiRM™ speaks to the enterprises those regulators supervise. HAiPECRTM runs as an ethical filter across both, mapped to the UNESCO 2021 Recommendation.

Founding Director

Prof. Markus Krebsz

Board portfolio executive, AI governance practitioner, and author. Founder of De-Risking Solutions Ltd, Risk.Ai, Human-Ai.Solutions and the Human-Ai.Institute. Creator of the Global Conduct Risk Paradigm (GCRP), the Universal Conduct Risk Paradigm (UCRP), EW-AiRM™ and HAiPECRTM.

Professional background

Long-established profile in risk management and international policy. IRM training delivery. Regulated FS governance. Originator of GCRP/UCRP underpinning the C dimension of HAlPECR. ECB F&P Person-regime holder.

AiNR-Tech Research + Governance

Author of UNECE ECE/TRADE/486 (2024), UN Universal Conduct Risk Paradigm IUCRP). HAliECRTM (OECD-listed since April 2023). Creator and Lead architect of EW-AiRM™.

Policy + Standards contributions

EU Al Office DG CNECT Expert Group. GPAl plenary participant. UNESCO I4T Network founding member. ForHumanity Fellow / Certified Auditor. UNECE WP.6 Al Project Lead. UN University Al Network founding member.

Current assignments

iNED, Revolut Bank UAB Supervisory Council member since 2017, ex-Audit committee Chair and currently RemCo chair. Hon. Prof., University of Stirling (UK). Clinical Prof. of Practice, Woxsen University (India). Repeat Wiley Finance author.

AFFILIATIONS AND RECOGNITIONS

Where the work connects.

International governance

• UNECE WP.6 (AI Project Lead, author ECE/TRADE/486) • UNESCO I4T Network (founding member) • EU AI Office, DG CNECT Expert Group • GPAI Code of Practice (plenary) • OECD AI Policy Observatory (HAIPECR listed Apr 2023) • UN University AI Network (founding member)

Academia & standards

• University of Stirling (Honorary Professor) • Woxsen University (Clinical Prof. of Practice) • MIT FutureTech (AI Risk Repository, CC BY 4.0) • ForHumanity (Certified Auditor) • BSI ART/1 (UK route into ISO/IEC JTC 1/SC 42/WG 3)

Regulated enterprise

• Revolut Bank UAB Supervisory Council (INED 2017) • De-Risking Solutions Ltd (UK Co. No. 09900565) • RiskAi.Ai (consulting and audit practice)

Publishing & media

• Wiley Finance (forthcoming book, 2026) • UN Global Dialogue on AI Governance (April 2026) • Mini Course Generator (training platform)

HOW WE WORK

Independent. Practitioner-grade. Open.

Independent

We do not sell a platform. We do not represent a regulator. We work for the organisation that hires us, within the constraints of the international standards we have helped to shape.

Practitioner-grade

Everything we publish has been built for use inside organisations under real regulatory scrutiny. The frameworks are auditable, the tools are operational, and the training leads to certificated outcomes.

Open

EW-AiRM™ is grounded in publicly licensed resources, including the MIT AI Risk Repository (CC BY 4.0). HAiPECR is documented and citable. The framework architecture is in print. We publish so it can be adopted, challenged, and improved.

Challenge us.

If you have an AI governance question that does not fit the FAQ, an enterprise problem that needs a framework, or a regulator question that needs an answer, reach out to us.