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MikeDoes 
posted an update 2 days ago
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142
State-of-the-art AI doesn't start with a model. It starts with the data.

Achieving near-perfect accuracy for PII & PHI

anonymization is one of the toughest challenges in NLP. A model is only as good as the data it learns from, providing this foundational layer is central to our mission. The

ai4privacy/pii-masking-400k dataset was built for this exact purpose: to serve as a robust, large-scale, open-source training ground for building high-precision privacy tools.


To see the direct impact of this data-first approach, look at the ner_deid_aipii model for Healthcare NLP by johnsnow lab. By training on our 400,000 labeled examples, the model achieved incredible performance:

100% F1-score on EMAIL detection.

99% F1-score on PHONE detection.

97% F1-score on NAME detection.

This is the result of combining a cutting-edge architecture with a comprehensive, high-quality dataset. We provide the open-source foundation so developers can build better, safer solutions.


Explore the dataset that helps power these next-generation privacy tools: ai4privacy/pii-masking-400k

🚀 Stay updated on the latest in privacy-preserving AI—follow us on LinkedIn: https://www.linkedin.com/company/ai4privacy/posts/

#DataPrivacy #AI #OpenSource #Anonymization #MachineLearning #HealthcareAI #Ai4Privacy
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