In the latest social media craze, people are sharing photos comparing how they looked 10 years ago with how they look today.
Dubbed the “10-Year Challenge,” the viral fad has attracted everyone from celebrities to environment seeking to highlight the impacts of climate change.
— ABS-CBN News (@ABSCBNNews) January 18, 2019
The challenge is light-hearted, but you may want to think twice before joining in.
That’s according to author and tech consultant Kate O’Neill, who warns that data from the challenge could be used by companies like Facebook or Amazon to train facial recognition algorithms.
In an interview with NPR’s Lulu Garcia-Navarro, O’Neill offered varying scenarios — some good, some bad — of what could happen if companies are able to utilize these algorithms for things like age recognition and progression.
First, the good
O’Neill speculated that facial recognition technology with age progression capabilities could help find missing kids, even after many years pass. She points out that facial recognition technology has already helped track down missing children — including in India, where police identified thousands of kids in just a few days using facial recognition.
Now, the bad news
According to O’Neill, it’s possible that data mined from the 10-Year Challenge could be used against us. She said it’s possible age progression recognition technology would be used in health care and health insurance assessments. That may sound beneficial, but writing in Wired, O’Neill pointed out, “For example, if you seem to be aging faster than your cohorts, perhaps you’re not a very good insurance risk. You may pay more or be denied coverage.”
She argued that the negative ramifications of sharing our data is a very real possibility, pointing to past incidents — such as when data for as many as 87 million Facebook users was “improperly shared” with Cambridge Analytica, a data analytics firm used by the Trump campaign in 2016.
“We need to approach our interactions with technology mindful of the data we generate and how it can be used at scale” – Kate O’Neill @kateo
— AI KENYA (@AIKENYA1) January 16, 2019
In a statement to Wired, Facebook said the 10-Year Challenge was a user-generated meme that they gained nothing from. Regardless, O’Neill preached caution.
“I want us to have fun and I want us to connect with each other. It just comes with the caution that it has this opportunity to make our lives more difficult and more challenging too,” she told NPR. “As long as we’re eyes wide open about the full spectrum of those potentials and those uses, then we’re going to be in great shape to guide ourselves into the future.”
Sure, the #10yearchallenge is a lot of fun, but it could also be providing a goldmine of data. We talked with @kateo about how these popular memes may help facial recognition software. https://t.co/Bcm7uO9Aur pic.twitter.com/TUQXpENIhM
— Marketplace (@Marketplace) January 18, 2019
In order to be cautious, she advised to be on the lookout for online games and memes that encourage people to participate in specific and particular ways.
“We may not have the sophistication to recognize the pattern now, but we should be gaining that sophistication, because these types of activities are going to be increasingly common,” she said.
— BryanDanLutu?? (@DanLutu) January 14, 2019
Some have dismissed O’Neill’s warnings, she said, arguing that many of the photos posted in the challenge were already available online anyway. But, O’Neill pushed back on this dismissal, pointing out that participating in the challenge helps to verify and curate the data.
“That action made it particularly easy in theory for a hacker or someone who engineered a social engineering experiment to gather this data in a way that made it more useful,” she said.
To combat data misuse, O’Neill argued that new regulatory approaches are needed to hold companies accountable for how they use data.
See how far we have come.
Opening hours 10 years ago Vs 24hr banking today.
— Stanbic Bank Uganda (@stanbicug) January 17, 2019
But, she also acknowledged that on the other side of the equation, there would be no data without the users sharing it.
“We need to understand the broader uses of emerging technology,” she said. “Emerging technology relies on human data, and that means us.”