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

Описание: 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.

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If you are interested in more information about synthetic data and intersectional hallucinations, check out this article by Dr. Johnson in The Conversation (https://theconversation.com/intersect....

And if you would like to know more about how to create useful READMEs for synthetic data set sharing, please see this policy document with the AI Policy Lab (https://aipolicylab.se/2025/03/20/met....

For access to the synthetic data analyser software suite, please contact [email protected]

This podcast is brought to you by Global Management Consultancy. For more information, please visit www.globalmanagementconsultancy.com.

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