Shifting Gears: Transitioning from Ad Hoc to Proactive Privacy
Data privacy: A C-suite issue with high stakes
Building an AI model can require large amounts of data about people, and this data needs to be appropriately handled and managed. To protect the privacy of people in the data, anonymized data can be ...
In 2024, we shared several short articles about de-identified or anonymized data. Here, we take a look at how they intersect.
If you’ve been involved in anonymization projects (such as Expert Determinations under HIPAA), you may have been asked to describe the data context in detail: how the data will be used, where it will ...
Unstructured data sources—including text, images, audio, and video—are rich sources of information. They can drive technological innovation and power diverse use cases such as synthetic data ...
Across industries, demand for medical images is on the rise. This is due to increased use cases, such as AI, which can support applications for diagnostics, tracking disease progression, and planning ...
Many organizations are familiar with statistical assessments of identifiability, like Expert Determinations under HIPAA or anonymization assessments under other regulations like the GPDR. In these ...
Re-identification Risk Determinations (RRDs) are assessments where an expert applies generally accepted statistical methods to determine how identifiable individuals are in a dataset. The expert will ...
As artificial intelligence (AI) continues to expand across various sectors, securing these systems against potential threats has become increasingly important. Our previous article, A Blueprint for ...
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