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Re:Google whistleblower: the medical data of millions of Ame... by reaperducer on Thursday November 14, 2019 @01:56PM (#21538223)
Because your medical information can be used against you.

Want a new job? Nope! We don't want someone with your condition on our team.

Want to buy a house? Nope! An AI bot says may not live long enough to pay the loan.

Want to get some ice cream? Can't haz. When you swipe your electronic payment method the database says you're at a risk for diabetes.

There are thousands of other scenarios.

Re:Google whistleblower: the medical data of millions of Ame... by SamuelAdams on Thursday November 14, 2019 @02:25PM (#21538481)
Also, consider the poor security track record of implantable medical devices [1]. From the source [2]:

> The vulnerabilities could allow an unauthorized individual (i.e. someone other than a health care professional) to access and potentially change the settings of an implantable device, home monitor or clinic programmer.

Ok cool, so there's millions of implantable cardioverter defibrillators whose voltages can be changed by someone who sits nearby at a restaurant. If they up the ampage high enough, the patient has a heart attack.

Now, what if I found out that a sitting president or other elected politician had a small electronic defibrillator implanted in their chest? We could see targeted assassinations look like medical device malfunctions when in reality someone learned about this device, built an exploit for it, and hired someone to sit within bluetooth range to deliver the payload.

It's not impossible to do. Unlikely, sure, but this is a result of the high-tech world we are living in.

[1]: https://nakedsecurity.sophos.com/2019/03/25/medtronic-cardia...

[2]: https://global.medtronic.com/xg-en/product-security/security...

Re:Google whistleblower: the medical data of millions of Ame... by antpls on Saturday November 16, 2019 @06:13AM (#21552073)
To me, your examples are not about "using information against" someone.

> Want a new job? Nope! We don't want someone with your condition on our team.

There are laws in some countries that could forbid such discrimination. Even if the employer lies about the true reasons, lies don't go unpunished forever. The parent is right about it, they are cultural biases.

> Want to buy a house? Nope! An AI bot says may not live long enough to pay the loan.

As said by another reply, your example is purely fictional. Even if it was true, there could be a culture change and new laws to support those people in need.

> Want to get some ice cream? Can't haz. When you swipe your electronic payment method the database says you're at a risk for diabetes.

Again, fictional example.

> There are thousands of other scenarios.

Sure, if you use all the words in the English dictionary, you can create billions of sentences, but very few will be actually close to the truth...

Re:Google whistleblower: the medical data of millions of Ame... by kazinator on Thursday November 14, 2019 @03:14PM (#21538939)
> Want to buy a house? Nope! An AI bot says may not live long enough to pay the loan.

Nobody cares whether you pay or not, as long as the property value isn't under water. They want you to die. If you die without an heir who can take over the payments (perhaps with the help of insurance money), they get everything you paid so far, and the property.

Re:Google whistleblower: the medical data of millions of Ame... by blissofbeing on Thursday November 14, 2019 @03:07PM (#21538886)
The can't get ice cream one is a bit far fetched eh? I'm sure that no matter if they knew my health history they would still sell me some ice cream :)
Re:Google whistleblower: the medical data of millions of Ame... by reaperducer on Thursday November 14, 2019 @03:20PM (#21539003)
Not if the Point of Sale system won't let them.
Re:Google whistleblower: the medical data of millions of Ame... by UncleMeat on Thursday November 14, 2019 @03:28PM (#21539072)
These are independent of any sharing. A medical provider could directly provide these features as a service without sharing any of the underlying data.