Massachusetts Institute of Technology researchers developed a new privacy metric called "Probably Approximately Correct Privacy," MIT News reports. PAC Privacy is a technique by which a "user (could) potentially add the smallest amount of noise possible" to a machine-learning algorithm to ensure it is as precise as possible, "while still ensuring the sensitive data are protected." The PAC framework is intended to "automatically determine the minimal amount of noise that needs to be added" to a data set.