| You may be right that privacy may not matter any more, and/or that the battle for privacy itself is already lost. To provide an alternative approach to consider, there's always the questions of "qui bono?" and "quis custodiet ipsos custodes?". (There's are quite old questions, if the fact that they are often served in Latin wasn't a dead giveaway.) "Who benefits?" and "who observes the observers?" Are you getting enough value from people using your private information? Do you know who is using your private information? Who is keeping them honest/lawful/good? Those are very tough questions, and a lot of the responses here certainly will tell you that the answers aren't in your favor. Though that's for you to judge, you may be benefitting enough from your Google services and social media, that maybe that's a fair trade-off for you. You may feel that market controls, capitalism, shareholders, may hold enough interest in keeping corporate entities accountable that you aren't worried what they are doing with your private information. That's a perfectly acceptable stance. It's largely the default stance these days, which is why so many posts are so fervently pro-privacy, because that's the stance that needs the most defending. Here's the thing though, even if you agree that maybe privacy is an intangible benefit that is already "lost" and not coming back, there are still interesting answers to "qui bono?" and "quis custodiet ipsos custodes?" that push towards the opposite direction: fighting for less privacy overall, but more transparency/accountability. "Who benefits?" Why should Google make so much money selling advertisers to you personally? Why not disintermediate that situation and sell yourself directly to advertisers? "Who observes the observers?" Who is it checking that Google is only using your private information for ads? Can you demand that Google explain everything they do with your private information, including when and how it gets "anonymized" or "aggregated" into other metrics? How much of your privacy data goes through open source code that you can evaluate for yourself? Can you access the foundations of their machine learning algorithms and help find biases as a user, as a general part of the "crowd", without being an employee or government auditor? One possible demand in a surveillance state is to dismantle the surveillance, and if privacy is already lost, that's a doomed battle. The other possible demand is sousveillance: "I should be able to watch you back." A good book of essays on the subject, if you want to explore the idea further: https://en.wikipedia.org/wiki/The_Transparent_Society |