A U.S. study published Thursday
showed the privacy of people’s health data is subject to greater risks as more
advances are being achieved in artificial intelligence (AI).
The study by researchers at
University of California, Berkeley (UC Berkeley) said that with the help of AI
tools, the status of individuals can be easily identified by monitoring their
daily patterns in step data, which expose their life habits by the information
gathered by activity trackers, smartwatches and smartphones in combination of
relevant geographic data.
The findings of the study, which
were published in the latest edition of JAMA Network Open journal, were
supported by a two-year-long experiment on data mining involving more than
15,000 Americans.
The study said such privacy
cannot be sufficiently protected by current laws and regulations including the
U.S. Health Insurance Portability and Accountability Act (HIPAA).
UC Berkeley engineer Anil Aswani,
who led the study, said many tech companies such as Facebook can collect step
data through apps on smartphones.
If Facebook matches the gathered
information with health care data it buys from another company, the social
media network can sell the advertising based on the health data at its hands or
simply make profits by selling the private information to third parties, Aswani
said.
It’s not the fault of mobile
devices, but the way how the information collected by smartphones being
misused, he said.
Progress in AI makes it easier
for companies to gain access to people’s health data, which increases the
temptation for companies to use it in illegal or unethical ways, said Aswani.
He noted that people’s health
care information is an important, highly appealing data asset being pursued by
employers, mortgage lenders, credit card companies and other agents who are
keen on promoting classified advertising by targeting particular population
group, such as pregnant women or people with disability.
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