In a recent article by TechTarget, Culhane Meadows’ Washington, D.C. office partner Peter Cassat discusses the benefits of AI data privacy tools.

Here are some excerpts from Peter’s interview:

Enterprises are pressed by the growing volume and types of data on one side and the rise in data privacy regulation and hacking on the other. They often face scaling issues when it comes to traditional approaches to data privacy that include a blend of manual human-centric processes and rules-based systems for identifying, managing and protecting sensitive data with personally identifiable information.

AI data privacy complements these efforts by automating more processes of discovering and classifying PII using adaptable AI models that can work across more data types. Gartner predicts that 40% of privacy compliance technology will rely on AI by 2023.

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AI could also help consumers understand what various data protection policies mean in practice by enhancing knowledge, said Peter Cassat, a partner with Culhane Meadows, a corporate law firm. He said the regulatory community has focused on building in consumer choice and the right to opt out. This means describing what information is being collected, how it is being used and what choices the customer has.

As organizations find more creative ways to use data, they also need to find ways to break down and describe the algorithmic decision-making that is occurring, the data that is fueling it and what is done with the outputs.

“If done effectively, that enhances individual privacy by allowing intentional information flow,” Cassat said.

The complete article can be found here.

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