“AI assurance is still being defined, so method and transparency matter more, not less.”

There is no settled playbook for auditing AI. Standards are still emerging, requirements differ across jurisdictions, and the technology keeps changing. In that environment the credibility of an opinion rests on the rigor of the method behind it. We develop ours deliberately and ground them in evidence, then publish our research, analysis, and explanations so that clients, regulators, and peers can examine the basis for what we conclude.

What we work on

01

Audit & assurance methodology

How to produce independent, defensible evidence about an AI system. How to adapt traditional assurance practices to AI.

02

Evaluation & testing methodology

How to measure whether a system actually functions as intended and how much confidence a test can support.

03

Ethics & AI

Where AI should or shouldn’t be used, how to weigh competing harms, and what responsible deployment demands in high-stakes settings.

04

AI Governance

What good governance looks like in practice across the industry. How organizations turn principles and regulations into controls, duties, and accountability that actually work.

Our Publications

Research paper

2026

The End of Human Judgment in the Kill Chain? Relocating Initiative and Interpretation with Agentic AI.

As militaries adopt LLM-based agents for data fusion and battlefield management, a deeper question emerges: can meaningful human judgment still be preserved in the kill chain?

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Research paper

2024

A Framework for Assurance Audits of Algorithmic Systems

Despite some converging norms around various forms of AI auditing, auditing for the purpose of compliance and assurance currently lacks agreed-upon practices, procedures, taxonomies, and standards.

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Research paper

2021

The algorithm audit: Scoring the algorithms that score us

In this article, we present an auditing framework to guide the ethical assessment of an algorithm.

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More of Our Thinking

Our take on the debates as they happen – our Blog

A sentence about the content of our blog that makes the reader curious to read it.

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Explainers and conversations, on video – Lunchtime BABLing

Our YouTube channel: takes on current topics, plain-language explainers, and discussions with guest speakers from across the ecosystem.

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