Quantitative evaluation demonstrates variations in explainability across public-sector algorithmic transparency records, highlighting the utility of multi-dimensional disclosure metrics.
Data, code, and a reproducible notebook for the Algorithmic Disclosure Explainability Index (ADEI), a six-dimension index measuring the explainability of UK Algorithmic Transparency Recording Standard (ATRS) records, applied to a 143-record snapshot retrieved between 25 and 28 August 2026.
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Sánchez et al. (2026) studied this question.
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