Research

Published research on AI governance.

Market outlooks, benchmarks and sector frameworks issued under the AIGX methodology. Every title states its reference, version and review state.

Series

Benchmarks

Series

Frameworks

Method

Methodology

Latest research

Every title carries a reference, a version and a review state.

Outlooks, benchmarks and sector frameworks published under the AIGX methodology. Each entry states where it stands, so a reader can tell a published position from work still in review.

AIGX-R-2026-01Market outlook · v1.3

Responsible AI Governance: 2026 Market Outlook

How ratings, gate logic and comparable scoring are being introduced into AI procurement, and what buyers in regulated sectors are expected to ask for over the coming year.

AIGX-R-2026-02Benchmark · v1.0

Responsible AI Governance: Enterprise Benchmark

Control coverage, evidence completeness and open gate states across completed assessments, reported as cohort ranges under consent and confidentiality rules.

AIGX-G-2026-01Framework · draft

Responsible AI Governance: Government Framework

Public accountability, transparency, rights and safety, records and oversight — set out as controls with named obligations, required artifacts and accountable owners.

AIGX-H-2026-01Framework · v1.2

Responsible AI Governance: Healthcare Framework

Clinical safety, model validation, human oversight, monitoring, third-party controls and data privacy for one AI system in clinical or operational use, or in active pre-deployment.