Here Comes the AI Backlash

Here Comes the AI Backlash

A disruptive new technology appears. People freak out. A political backlash ensues. It's a pattern that's shaped the evolution of technologies from the printing press, to radio, to gene-modified foods, to social media. Next up: facial recognition, which uses AI to teach computers to recognize human faces. The backlash has been accelerating in recent weeks:


In the US, Bernie Sanders last weekend became the first 2020 presidential candidate to call for an outright ban on facial recognition software in policing. A handful of US cities have already blocked its use.

In Europe, policymakers in Brussels are weighing regulations to curtail "indiscriminate use" of the technology by companies and governments, while a UK parliamentary committee last month called for a moratorium. Just yesterday, Sweden's data protection authority issued its first-ever fine against a school that used facial recognition to track student attendance.

Then there's Hong Kong, where many protesters have donned face masks to prevent the authorities from using their faces to ID them. Over the weekend, they went even further, using electric saws to topple government-erected "smart lampposts" amid fears they could be used to spy on crowds. The government said in June it doesn't use automated facial recognition in the territory's thousands of surveillance cameras. The people aren't taking any chances.

Like all good technology backlashes, this one pits the concerns of individuals against the prerogatives of companies and governments. For consumers, facial recognition promises a measure of convenience – using a scan of your face to unlock your phone, or to check whether your flight to Shanghai is on time. In a few years, you might be able to ditch your wallet and just pay with everything using your face. For companies, the technology promises big profits, both from selling it – just this week, a Chinese facial recognition startup called Megvii filed for an IPO that could value the business at up to $1 billion – and from using the information gleaned to sell people more stuff. And for governments, it can help foil crime and terrorism by making it easier to detect and track bad guys (or truants!).

But while all of that is true, facial recognition can also be used for more sinister purposes - just ask the Uighurs in Xinjiang in Western China, whose movements are routinely tracked by surveillance cameras using facial recognition as part of a broader political and security crackdown there. Even in less repressive circumstances, facial recognition can also create risks for innocent people who are misidentified. The question is: who gets access to your face and under what rules? And should there be spaces where this technology just isn't allowed?

The backlash will probably only be partly successful. A few countries may try to ban facial recognition completely. Others will ban certain government applications, while permitting commercial uses. This too will require regulation: why would you trust a private company with your face? Other countries will more enthusiastically embrace it as a way of exercising greater control over their populations or providing better security.

Dystopian chaser: If you're worried about facial recognition, you'll love "gait recognition," which can ID you based on how you walk, even if it can't see your face. Companies are also working on "emotion detection" AI that guesses how you're feeling – or whether you're lying – based on pupil dilation and other physical cues.

Global Stage: Patching the System, a podcast about cybersecurity | Listen

GZEROMEDIA

Subscribe to GZERO Media's newsletter: Signal

GZERO World with Ian Bremmer: watch now

The Graphic Truth: Has clean water access improved?

Living Beyond Borders Articles

What We’re Watching: Water wars vs. cooperation

Living Beyond Borders Articles

All Russians lose in Putin's war

GZERO World Clips
GZERO World with Ian Bremmer: watch now

GZEROMEDIA

Subscribe to GZERO Media's newsletter: Signal

Global Stage: Patching the System, a podcast about cybersecurity | Listen