Trial and Error: The Rush (and Risk) Around ChatGPT

In a matter of months, millions of people have come to rely on ChatGPT, even though the technology, by its own makers' admission, was released while still in beta. Welcome to a longstanding practice in the tech field: the release of flawed products designed to improve as consumers use them. The approach is known as the "minimum viable product" model, and it has at least some experts worried. They contend that the potential risks--of a new AI tool that can create content almost as well as a human being can--are too great to be left to users to figure out. "There is a risk in this case," says Chris Cantarella, global sector leader of the Software practice at Korn Ferry.