Bias in public datasets

Unfair bias in AI models can impact people's lives, especially for minorities or historically marginalized groups. This work examines bias in public datasets that can be used to train AI models and identifies unfair bias in datasets from areas such as education, healthcare, finance, or employment.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-20
DOI
https://doi.org/10.5281/zenodo.13347533
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Bias in public datasets

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

Bias in public datasets

article en

Abstract

Unfair bias in AI models can impact people's lives, especially for minorities or historically marginalized groups. This work examines bias in public datasets that can be used to train AI models and identifies unfair bias in datasets from areas such as education, healthcare, finance, or employment.

Zenodo (CERN European Organization for Nuclear Research)
Graz University of Technology (AT)
Reduced inequalities
Openalex Percentile: Top 75%
Artificial Intelligence in Healthcare and Education
DOIOpen Access PDFOpenAlex
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Bias in public datasets · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS