Model and Data Documentation for AI: Fostering Transparency, Accountability & Replicability

Introduction to Model and Data Cards, documentation schemas that facilitate comprehensive reporting of key information about model architectures, hyperparameters, and detailed dataset characteristics. By standardizing documentation practices, researchers can enhance the reproducibility of experiments, foster collaboration across diverse AI domains, and foster transparency regarding biases and limitations.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-19
DOI
https://doi.org/10.5281/zenodo.13796278
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
Field-Weighted Citation Impact
0.00
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article

Model and Data Documentation for AI: Fostering Transparency, Accountability & Replicability

Zenodo (CERN European Organization for Nuclear Research)
Explainable Artificial Intelligence (XAI)
article

Model and Data Documentation for AI: Fostering Transparency, Accountability & Replicability

article en

Abstract

Introduction to Model and Data Cards, documentation schemas that facilitate comprehensive reporting of key information about model architectures, hyperparameters, and detailed dataset characteristics. By standardizing documentation practices, researchers can enhance the reproducibility of experiments, foster collaboration across diverse AI domains, and foster transparency regarding biases and limitations.

Zenodo (CERN European Organization for Nuclear Research)
Leuphana University of Lüneburg (DE), Universität Hamburg (DE)
Openalex Percentile: Top 59%
Explainable Artificial Intelligence (XAI)
DOIOpen Access PDFOpenAlex
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Model and Data Documentation for AI: Fostering Transparency, Accountability & Replicability · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS