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The Data Artifacts Glossary: a community-based repository for bias on health datasets
2
Zitationen
10
Autoren
2025
Jahr
Abstract
The Data Artifacts Glossary serves as a vital resource for enhancing the integrity of AI applications in healthcare by providing a mechanism to recognize and mitigate dataset biases before they impact AI outputs. It not only aids in avoiding bias in model development but also contributes to understanding and addressing the root causes of health disparities.
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