Data classification key to unlocking AI, says North Carolina’s privacy chief

Source Domain: statescoop.com

North Carolina’s chief privacy officer, Martha Wewer, stresses the importance of data classification as a critical step to realizing the full potential of artificial intelligence (AI) in the state.
The main project under Wewer involves creating a data classification project to help accurately identify what data exists, where it resides, and its sensitivity level, which aids in applying appropriate privacy and security controls.
Wewer emphasizes that accurate data classification is paramount to understanding which datasets are usable for AI, which need to be anonymized or aggregated, and which have sufficient quality for trusted use.
The project is tied to state leadership objectives, including Gov. Josh Stein’s executive order aimed at creating a statewide AI framework and establishing an AI leadership council.
Proper data classification allows for specific data-control rules to form, including access controls, encryption, logging, retention periods, and vendor requirements, helping prevent data leakage and misuse.
As AI integration grows within government operations, the stakes for proper data management and privacy protections are increasing.
Wewer’s office collaborates with I-Sah Hsieh, North Carolina’s deputy secretary for artificial intelligence and policy, to develop governance frameworks that overlap with privacy, AI, and cybersecurity protocols.

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