The AI Governance Team: Roles, Skills and Hiring

Which AI governance roles actually exist, where the function should report, and what to look for when hiring. Written for whoever has been told to build the team, with a section for people trying to move into the field.

August 12, 2026 · 13 min read

Technical Controls & Assurance

Bias Auditing and Fairness Testing: A Practical Method

A bias audit is a measurement exercise with a policy decision hidden inside it. This covers selection rates and impact ratios worked through…

August 10, 2026 · 15 min read

Industry & Sector Governance

AI Governance in the Public Sector

Public bodies cannot offer their users an exit, which is why the obligations run deeper. This covers the memoranda that now govern US federa…

August 7, 2026 · 14 min read

This Week in AI Governance

Aug 21·research

Incident-Data Robustness Analysis of the OWASP Top 10 for LLM Applications (2026): How a Community-Expert Ranking Holds Up Against a Large-Scale LLM Incident Corpus

The arXiv paper evaluates the robustness of the OWASP Top 10 for LLM applications using a large incident corpus from 2026. It compares the community‑expert ranking of risks against empirical incident data, finding that several high‑ranked categories under‑represent real‑world failures, suggesting a need to revise the OWASP list for LLM‑specific threats.

Source: arXiv cs.CR daily listing · Verified Aug 21

Aug 21·research

Inadvertent Context Leakage in Language Models

The authors analyse how language models unintentionally leak contextual information (e.g., prior prompts, system messages) during generation. They propose measurement methodologies and show that even well‑tuned models can expose private context, recommending stricter isolation and output filtering for privacy‑sensitive deployments.

Source: arXiv cs.CR daily listing · Verified Aug 21

Aug 21·research

Tracking the Trend in How Speech Synthesizers Deceive People

The paper tracks how speech‑synthesizer technologies have been used to deceive listeners, compiling a timeline of deep‑fake audio incidents. It quantifies the evolution of realism and identifies gaps in detection tools, calling for standardized evaluation metrics for synthetic‑voice security.

Source: arXiv cs.CR daily listing · Verified Aug 21

Aug 21·research

Auditing Cross-Lingual Fairness in Language Model Watermarking

This work introduces a benchmark for auditing cross‑lingual fairness in LLM watermarking schemes. Experiments across multiple languages reveal that existing watermark detectors exhibit variable detection rates, raising concerns about equitable enforcement of provenance verification in multilingual settings.

Source: arXiv cs.CR daily listing · Verified Aug 21

Aug 21·research

Constitutive vs. Corrective: A Causal Taxonomy of Human Runtime Involvement in AI Systems

The authors present a causal taxonomy distinguishing constitutive (built‑in) from corrective (runtime) human involvement in AI systems. By mapping intervention points, the framework helps designers decide where human oversight is most effective for safety and compliance.

Source: arXiv cs.CY daily listing · Verified Aug 21

Aug 21·research

A three-dimensional typology of agency for advanced AI systems

The paper proposes a three‑dimensional typology of agency for advanced AI systems, covering (1) decision‑making authority, (2) goal‑directedness, and (3) autonomy level. It provides illustrative cases and discusses implications for governance and liability frameworks.

Source: arXiv cs.CY daily listing · Verified Aug 21

All AI governance news →

Market Research

Governance is turning into a market of its own

Spending is moving from one-off audits toward continuous monitoring bought as software. The numbers below track how fast the discipline is scaling, and how much room is left to run.

$0.31B

2025

→

$5.88B

2035 projected

$5.88B

projected AI governance market by 2035

Precedence Research

~34%

compound annual growth rate to 2035

Precedence Research

88%

of organizations now use AI in a business function

McKinsey, 2025

51%

report at least one negative AI incident

McKinsey, 2025

Regulation & standards tracker

Framework	Jurisdiction	Type	Status	Key milestone
EU AI Act	European Union	Binding regulation	Enforcing	Core obligations from Aug 2, 2026
NIST AI RMF	United States	Voluntary framework	Active	Generative AI Profile added 2024
ISO/IEC 42001	Global	Management standard	Certifiable	AI management system, published 2023
GPAI Code of Practice	European Union	Voluntary guidance	In use	Presumption of conformity for signatories