At the 2018 World Economic Forum in Davos, IBM CEO Ginni Rometty addressed world leaders and entrepreneurs, stating, “[e]very minute of every day, every action, reaction, decision, event and process is being expressed as data—data that is collectable and yielding knowledge.” Rometty’s comments intersected a general Davos theme focused on the development of artificial intelligence (AI) systems—including machine learning (ML), the type of AI that currently dominates the business world—and how those AI systems would transform society. Within AI’s breathtaking possibilities lurk privacy concerns associated with this collectable, knowledge-yielding data. ML development not only relies on data but it also works best with exactly the personal data that most implicates privacy concerns. Why society or the law should care about how AI may be exploiting personal data is one issue; how to address privacy in this context is another. While AI development seems to be driving us toward a potential privacy crisis, it may also offer solutions to it.
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