Synthetic Data Explained: Useful, Transparent, or Risky? | Dr. Ericka Johnson

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Synthetic Data Explained: Useful, Transparent, or Risky? | Dr. Ericka Johnson

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Dr. Ericka Johnson, Deputy Head of Department and Professor of Gender and Society at Linköping University, Sweden, joins us to discuss her fascinating research, “Useful and Transparent Synthetic Data?” Synthetic tabular data is machine-generated, spreadsheet-like data that learns the statistical patterns in a real dataset and then creates new rows that resemble it without copying actual records. It’s widely used to enable safer data sharing under legal/policy constraints, support privacy-focused collaboration, and expand small datasets for testing and machine-learning workflows while still needing to mimic, not mirror, the original data. This podcast is brought to you by Global Management Consultancy. For more information, please visit www.globalmanagementconsultancy.com. Disclaimer: A. The background music incorporated in this video is the intellectual property of its respective developer and is protected under applicable copyright laws. Notwithstanding that it is a free-to-use version, Business Talk, Global Management Consultancy, and Deepak Bhatt do not own, and expressly do not claim, any rights, title, or interest in or to this music. B. Dr. Ericka Johnson shared profound insights from her research, “Useful and transparent synthetic data?”, during an engaging conversation on the Business Talk podcast channel. The uploaded video contains copyrighted content, so changing any graphics, music, or on-screen appearance of the author or host is not allowed.

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