§6 · Lane 2 — AI Audit and Accountability

Auditing LLMs — A Three-Layered Approach a board-ready LLM audit checklist

Mökander, Schuett, Kirk, Floridi (2024) · AI & Ethics 4

Academic Tier 1 Lane 2 DOI
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Bibliographic data

Title
Auditing Large Language Models: A Three-Layered Approach (Mökander, Schuett, Kirk, Floridi, 2024)
Authors / Issuing body
Jakob Mökander (Oxford Internet Institute + Princeton CITP), Jonas Schuett (Centre for the Governance of AI + Goethe University Frankfurt), Hannah Rose Kirk (Oxford Internet Institute), Luciano Floridi (Oxford Internet Institute + Bologna)
Venue / Publisher
AI and Ethics 4 (2024) 1085-1115. Received Feb 2023; accepted April 2023; published May 2023 (volume year 2024).
Year
2024
Designation
Academic
Licence
DOI — refer to publisher for full licence terms.

How to cite

Mökander, Schuett, Kirk, Floridi (2024). Auditing Large Language Models: A Three-Layered Approach (Mökander, Schuett, Kirk, Floridi, 2024). AI and Ethics 4 (2024) 1085-1115. Received Feb 2023; accepted April 2023; published May 2023 (volume year 2024).. https://doi.org/10.1007/s43681-023-00289-2.

Proposes a three-layered audit blueprint for large language models — governance audits (of providers' organisational accountability structures and quality management systems), model audits (of LLM capabilities and limitations between pre-training and release), and application audits (of products built on LLMs, covering legal compliance and impact).

Why it matters for NETEVO

Auditing Large Language Models: A Three-Layered Approach (Mökander, Schuett, Kirk and Floridi, 2024) proposes three coordinated audit layers — governance audits of provider accountability structures and quality-management systems, model audits of LLM capabilities and limitations between pre-training and release, and application audits of products built on LLMs, covering legal compliance and impact — and argues that the three layers must operate as a single instrumented loop rather than as independent activities.

The layers are interconnected, not siloed. Output from one audit becomes input to the next: governance findings inform model audits, model-limitation reports shape application audits, and application-layer operational logs feed back into the governance layer. This is the audit-side mirror of the integrated-management-system thesis the Integrated Management Systems Practical Guide establishes — one engineered system, multiple normative regimes, observed end-to-end.

Governance audits live at the management-system level. The paper places software development processes and quality management systems squarely inside the governance-audit layer — the same surface on which the Law-to-Code Methodology operates. AS ISO/IEC 42001 provides the management-system shell; this paper supplies the audit-side application.

Ex-ante and ex-post assessment together. The paper argues against audit-as-snapshot and for audit as a continuous, telemetry-driven activity. Continuous audit presupposes controls that emit evidence: an executable control produces the telemetry a continuous audit consumes, where a paper policy does not. The five institutional-arrangement archetypes the paper proposes for who audits whom also map cleanly onto Australia's emerging AI assurance landscape.

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