Secret Image Sharing Thesis

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Of course, not all the dismissive comments in my Twitter mentions were about the pictures being already available; some critics noted that there was too much crap data to be usable.

But data researchers and scientists know how to account for this.

Like most emerging technology, there's a chance of fraught consequences.

Age progression could someday factor into insurance assessment and health care.

Facial recognition's potential is mostly mundane: Age recognition is probably most useful for targeted advertising.

Ad displays that incorporate cameras or sensors and can adapt their messaging for age-group demographics (as well as other visually recognizable characteristics and discernible contexts) will likely be commonplace before very long.If you uploaded an image of a cat 10 years ago and now—as one of my friends did, adorably—that particular sample would be easy to throw out.For its part, Facebook denies having any hand in the #10Year Challenge.That application isn’t very exciting, but stands to make advertising more relevant.But as that data flows downstream and becomes enmeshed with our location tracking, response and purchase behavior, and other signals, it could bring about some genuinely creepy interactions.Ideally, you'd want a broad and rigorous dataset with lots of people's pictures.It would help if you knew they were taken a fixed number of years apart—say, 10 years.I’ll offer three plausible use cases for facial recognition: one respectable, one mundane, and one risky.The benign scenario: Facial recognition technology, specifically age progression capability, could help with finding missing kids."This is a user-generated meme that went viral on its own," a Facebook spokesperson responded."Facebook did not start this trend, and the meme uses photos that already exist on Facebook.


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