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GDPR might make certain uses of machine learning more difficult. A hypothetical insurance company that uses ML to decide who gets offered which rate, might run
by gnud 9y ago
GDPR might make certain uses of machine learning more difficult.
A hypothetical insurance company that uses ML to decide who gets offered which rate, might run into trouble when a customer asked for "meaningful information" about the logic behind the decision.
But for the same insurance company, using ML to flag possible fraud cases, and then having a human review them, seems not to pose a problem. All decisions were made by humans, the machines just showed where a decision was needed.
Of course, IANAL.
- disgruntledphd2 9y agoInsurance companies are already prevented by law from using methods which cannot be explained, so they will be fine. I actually think that most ML will be fine, as the outcomes are trivial. The particular set of results that Google shows you on Google.com are not a decision about you, and I can't see those needing to be interpreted. Anything more consequential (i.e. job hiring) probably will, but also has laws that prevent the use of indiscriminate data already. So, I don't see this an issue.
- maksimum 9y ago> The particular set of results that Google shows you on Google.com are not a decision about you I think that's easily demonstrated as not true: when I search for something like `luigi` in a regular window, I get the github link 1st. When I search for it in an anonymous window the github link is 3rd. Try it for yourself with a technical term that also has a common non-technical meaning. I believe that search personalization is useful, but it may be a privacy issue.
- disgruntledphd2 9y agoSee I get you, but I disagree. My example is python, whereby biologists and such-like people get snakes, people hanging out here get the programming language and so on. I personally believe (with no evidence) that the number of potential SERPs is much lower than the number of users, as I reckon they use some kind of dimension reduction technique and pick vectors of results "close" to yours. But I completely accept that I could be entirely wrong on this (i still think such a decision isn't consequential enough to trigger any GDPR provisions, but again I could also be wrong on that :) )
- gnud 9y agoThe insurance example was just the first thing I could think of. Replace with phone company, utilities company, what have you.
- bitL 9y agoWould publishing a deep learning model on GitHub satisfy that requirement? You want to know how it makes decisions? Here you go!