Academics have been yelling about this as loudly as they can. @random_walker's work on re-identification for example.https://twitter.com/bikehugger/status/957865443766632449 …
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Privacy of data simply cannot be negotiated person by person, especially because there's no meaningful informed consent. People cannot comprehend what their data will reveal especially *in conjuction* with other data. Even companies do not know this, so they cannot inform anyone.
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I'll emphasize: In the digital age, there is NO meaningful informed consent with regards to data privacy that operates at an individual level. Current implications are unknown; future uses are unknowable. Companies structurally cannot inform and we are in no position to consent.
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Nobody knows what machine learning will be able fairly successfully to infer about what set of data in the future, and what piece plays what role. People have hard time comprehending what a searchable database of many people's data reveal, etc. THERE IS NO INFORMED CONSENT HERE.
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"Check your privacy settings"—which is your standard Silicon Valley response—is no response. In the digital age, data privacy simply cannot be negotiated and consented to at the individual level. (Let alone via wrap-around, click-through, as-is legalese).https://twitter.com/LizSly/status/957743336818954240 …
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This is *my* dumb
#fitnesstracker. Nobody but me needs 2 know how many steps I take every day. (PS, yes, the app is turned off on my#iphone, too.) (Which I don't carry constantly.) (Or always have on.) OMG you're right--this kind of consumer contortionist behavior is just wrong!pic.twitter.com/lqLwIPv3sl
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+1. What level of understanding/accepting those risks do you think we need to go to? Esp. if we can’t fully grasp them all ourselves!
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How should the potential negative outcomes from future algos + future datasets be communicated? E.g. “At this point in time, if you share your GPS, one could confidently infer your home address, place of work, income level, gender, sexuality, etc. Oh, and maybe more later…?"
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Heh me neither, but let’s definitely keep the conversation going in the hopes we can find some answers! At DataKind we do a "pre-mortem" with every group before we take a project where we try to elucidate every unintentional use of the work that could cause harm before we start
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