Artificial intelligence algorithms are vulnerable to "adversarial attacks," which are inexpensive and easy to carry out, according to a report from Vox.
While many major tech firms are working to prevent these types of attacks, AI is at risk across industries. The report cites a test conducted by Tencent's Keen Security Lab that was able to trick a self-driving Tesla Model S into switching lanes by simply placing three stickers on the road in a line.
An adversarial attack on AI in healthcare could take the form of medical fraud, malicious or well-intentioned. Vox gives the example of a physician who could defraud payers by simply adding a layer of pixels to the image of a mole. This could cause an AI system to incorrectly read the mole as malignant, flagging it for removal and reimbursement. Vox also provides a more "well-meaning" example of a physician who may want to prescribe painkillers for a patient. A prescription authorization tool might prevent the physician from writing the prescription, so that physician could circumvent the system by adding billing codes or phrases they know would pass the system.
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