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.
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 governance is judged when evidence, rather than stated intent, becomes the test: adoption and incident pressure, the standards converging on a common control language, sector evidence thresholds, and the assurance layer emerging around them.
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-RAIHFramework · v2.1
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.