Beyond Completeness: Measuring Audience-Differentiated Explainability in Public-Sector Algorithmic Transparency (data and code)

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.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-07
DOI
https://doi.org/10.5281/zenodo.22647858
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
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article

Beyond Completeness: Measuring Audience-Differentiated Explainability in Public-Sector Algorithmic Transparency (data and code)

José Rafael García-González, Paola Andrea Sánchez
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

Beyond Completeness: Measuring Audience-Differentiated Explainability in Public-Sector Algorithmic Transparency (data and code)

José Rafael García-González, Paola Andrea Sánchez
article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 7%
Ethics and Social Impacts of AI
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