Article

Synthetic Data Generation for Bias Mitigation in AI: A Literature Review on Generative AI and Knowledge-Driven Methods

2025-08-26

Abstract excerpt

AI systems may reproduce and amplify societal biases present in their training data as decision-making becomes more automated. The acknowledged biases present significant barriers to equity, accountability, and the ethical application of AI. This research review evaluates the efficacy of synthetic data generation through generative AI and knowledge-based methodologies in alleviating dataset bias and enhancing equa...

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Literature Corpus work: deb7bced-3c14-5a77-86ad-df36c49a4580
DOI: 10.20944/preprints202508.1686.v1

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