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Re:23andMe confirms hackers stole ancestry data on 6.9M users by CaptainZapp on Tuesday December 05, 2023 @08:38AM (#38530518)
> What do you think will happen to people who had their ancestry data stolen here?

Sounds like an absolute treasure trove for a life insurance company. Or, would you disagree?

Re:23andMe confirms hackers stole ancestry data on 6.9M users by manishsharan on Tuesday December 05, 2023 @12:29PM (#38533998)
>Sounds like an absolute treasure trove for a life insurance company. Or, would you disagree?

Disagree. Life insurance companies already requir blood tests and urine tests before insuring a consumer. They already have this data

Re:23andMe confirms hackers stole ancestry data on 6.9M users by anonymouskimmer on Tuesday December 05, 2023 @02:55PM (#38536113)
The test labs wouldn't spend the additional funds to run a genome sequencing, or even a SNP array.
Re:23andMe confirms hackers stole ancestry data on 6.9M users by jalk on Tuesday December 05, 2023 @08:51AM (#38530638)
Yes, but one would hope that if an insurance company was caught using stolen data to calculate the premiums, that would be the end of that company and jail time for management (like the leaders of VW responsible of the emissions testing cheating).
Re:23andMe confirms hackers stole ancestry data on 6.9M users by psychlops on Tuesday December 05, 2023 @10:45AM (#38532345)
> jail time for management

Funny! We all know it would be a lone rogue engineer that did it in the end and management would apologize on their behalf.

Re:23andMe confirms hackers stole ancestry data on 6.9M users by hnbad on Tuesday December 05, 2023 @08:55AM (#38530699)
That assumes they do so in a really stupid and straightforward way. LLMs already exist to "AI-wash" copyrighted material in ways that technically don't violate copyright. I'm pretty sure someone will find a way to create a dodgy shell company around a foreign B2B service that reycles this data for them in a way that is technically legal to use.

"Feed personal data into this service and it'll spit out a risk assessment based on a model built on 6.9M historical health data sets."