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• Tools from machine learning are showing great promise in solving challenging problems in healthcare by leveraging their ability to parse and integrate massive datasets • Currently, this progress comes at the expense of privacy, since the current state of privacy legislation is not equipped to handle the novel challenges presented by widespread adoption of ML • Changing the current U.S. “reasonable expectation of privacy” doctrine and ending the restriction of HIPAA to only the healthcare industry are two specific steps local or federal governments can take to protect privacy in the age of ML

Current regulations will not protect patient privacy in the age of machine learning