Harvard Business Review March 18, 2021
Privacy has always meant minimizing the collection of data to what is “fit for purpose,” and then limiting the access and retention of that data only to what is required.
Artificial intelligence (AI), promising exciting opportunities for new services and products, has always been hungry for data from any source in order to derive insights.
These two worlds are rapidly colliding. As they do, they have the potential to address both the promise and the risks of data privacy and AI.
Realizing this promise comes down to governance. Effective oversight requires complex structures most organizations do not have—not just for developers, like data-science teams, but also across teams that may procure AI solutions, such as operations and HR, and core...