Closing the gender data gap

Published on August 20, 2026

Ana-Maria Badulescu, VP of AI Engineering & Architecture at Precisely, explores how gender bias in data can shape AI systems and influence real-world decisions. She highlights the risks of unrepresentative datasets, the importance of data integrity and governance, and why closing both the gender data gap and AI adoption gap is essential for building trustworthy, inclusive AI.

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