Medical data of minorities could be more vulnerable to cyberattack

Individuals whose data are used to train medical artificial intelligence (AI) models may be at risk of being identified in cyberattacks, according to a Nature paper. Underrepresented groups may face disproportionately higher risks of having their data compromised, the study indicates. The researchers found these individuals are not accounted for in current risk assessments and call for further mitigation and strict access control.

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