Interview: On data protection risks with medical research data

Disease combinations are often unique – anonymization of health data is therefore particularly complex. An interview on ...
National Academies of Sciences%2c Engineering%2c and Medicine

Using Multiple Data Sources and State-of-the-Art Estimation Methods in Federal Statistics: Frameworks, Methods, and Assessment

The environment for obtaining information and providing statistical data for policy makers and the public has changed significantly in the past decade, raising questions about the fundamental survey ...
VentureBeat

What is dirty data? Sources, impact, key strategies

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Enterprise data is critical to business ...
MIT Technology Review

A major AI training data set contains millions of examples of personal data

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...