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AI To Recognize Individuals Emotions Using A Photographic Repository

Not for police, government

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Rana el Kaliouby, CEO of the Boston-based artificial intelligence firm Affectiva, is pictured in Boston, April 23, 2018. Affectiva builds face-scanning technology for detecting emotions, but its founders decline business opportunities that involve spying on people.
Rana el Kaliouby, CEO of the Boston-based artificial intelligence firm Affectiva, is pictured in Boston, April 23, 2018. Affectiva builds face-scanning technology for detecting emotions, but its founders decline business opportunities that involve spying on people. VOA

When a CIA-backed venture capital fund took an interest in Rana el Kaliouby’s face-scanning technology for detecting emotions, the computer scientist and her colleagues did some soul-searching — and then turned down the money.

“We’re not interested in applications where you’re spying on people,” said el Kaliouby, the CEO and co-founder of the Boston startup Affectiva. The company has trained its artificial intelligence systems to recognize if individuals are happy or sad, tired or angry, using a photographic repository of more than 6 million faces.

Recent advances in AI-powered computer vision have accelerated the race for self-driving cars and powered the increasingly sophisticated photo-tagging features found on Facebook and Google. But as these prying AI “eyes” find new applications in store checkout lines, police body cameras and war zones, the tech companies developing them are struggling to balance business opportunities with difficult moral decisions that could turn off customers or their own workers.

El Kaliouby said it’s not hard to imagine using real-time face recognition to pick up on dishonesty — or, in the hands of an authoritarian regime, to monitor reaction to political speech in order to root out dissent. But the small firm, which spun off from a Massachusetts Institute of Technology research lab, has set limits on what it will do.

The company has shunned “any security, airport, even lie-detection stuff,” el Kaliouby said. Instead, Affectiva has partnered with automakers trying to help tired-looking drivers stay awake, and with consumer brands that want to know whether people respond to a product with joy or disgust.

Rana el Kaliouby, CEO of the Boston-based artificial intelligence firm Affectiva, demonstrates the company's facial recognition technology, in Boston, April 23, 2018.
Rana el Kaliouby, CEO of the Boston-based artificial intelligence firm Affectiva, demonstrates the company’s facial recognition technology, in Boston, April 23, 2018. VOA

New qualms

Such queasiness reflects new qualms about the capabilities and possible abuses of all-seeing, always-watching AI camera systems — even as authorities are growing more eager to use them.

In the immediate aftermath of Thursday’s deadly shooting at a newspaper in Annapolis, Maryland, police said they turned to face recognition to identify the uncooperative suspect. They did so by tapping a state database that includes mug shots of past arrestees and, more controversially, everyone who registered for a Maryland driver’s license.

Initial information given to law enforcement authorities said that police had turned to facial recognition because the suspect had damaged his fingerprints in an apparent attempt to avoid identification. That report turned out to be incorrect and police said they used facial recognition because of delays in getting fingerprint identification.

In June, Orlando International Airport announced plans to require face-identification scans of passengers on all arriving and departing international flights by the end of this year. Several other U.S. airports have already been using such scans for some departing international flights.

Chinese firms and municipalities are already using intelligent cameras to shame jaywalkers in real time and to surveil ethnic minorities, subjecting some to detention and political indoctrination. Closer to home, the overhead cameras and sensors in Amazon’s new cashier-less store in Seattle aim to make shoplifting obsolete by tracking every item shoppers pick up and put back down.

Concerns over the technology can shake even the largest tech firms. Google, for instance, recently said it will exit a defense contract after employees protested the military application of the company’s AI technology. The work involved computer analysis of drone video footage from Iraq and other conflict zones.

Google guidelines

Similar concerns about government contracts have stirred up internal discord at Amazon and Microsoft. Google has since published AI guidelines emphasizing uses that are “socially beneficial” and that avoid “unfair bias.”

Amazon, however, has so far deflected growing pressure from employees and privacy advocates to halt Rekognition, a powerful face-recognition tool it sells to police departments and other government agencies.

Saying no to some work, of course, usually means someone else will do it. The drone-footage project involving Google, dubbed Project Maven, aimed to speed the job of looking for “patterns of life, things that are suspicious, indications of potential attacks,” said Robert Work, a former top Pentagon official who launched the project in 2017.

While it hurts to lose Google because they are “very, very good at it,” Work said, other companies will continue those efforts.

Commercial and government interest in computer vision has exploded since breakthroughs earlier in this decade using a brain-like “neural network” to recognize objects in images. Training computers to identify cats in YouTube videos was an early challenge in 2012. Now, Google has a smartphone app that can tell you which breed.

A major research meeting — the annual Conference on Computer Vision and Pattern Recognition, held in Salt Lake City in June — has transformed from a sleepy academic gathering of “nerdy people” to a gold rush business expo attracting big companies and government agencies, said Michael Brown, a computer scientist at Toronto’s York University and a conference organizer.

Brown said researchers have been offered high-paying jobs on the spot. But few of the thousands of technical papers submitted to the meeting address broader public concerns about privacy, bias or other ethical dilemmas. “We’re probably not having as much discussion as we should,” he said.

Not for police, government

Startups are forging their own paths. Brian Brackeen, the CEO of Miami-based facial recognition software company Kairos, has set a blanket policy against selling the technology to law enforcement or for government surveillance, arguing in a recent essay that it “opens the door for gross misconduct by the morally corrupt.”

Boston-based startup Neurala, by contrast, is building software for Motorola that will help police-worn body cameras find a person in a crowd based on what they’re wearing and what they look like. CEO Max Versace said that “AI is a mirror of the society,” so the company chooses only principled partners.

Also read: Thanks To Artificial Intelligence, Radio Journalist Regains His Voice

“We are not part of that totalitarian, Orwellian scheme,” he said. (VOA)

Next Story

Intel and Cray Collaborate With U.S. Government, Aims for Nation’s Fastest Computer

The world's current most powerful machine, the Summit supercomputer at Oak Ridge National Laboratory in Tennessee, contains chips from International Business Machines Corp. and Nvidia.

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Intel
This Jan. 1, 2018, file photo shows an Intel logo on the box containing an HP desktop computer on sale at a Costco in Pittsburgh. VOA

A U.S. government-led group is working with chipmaker Intel and Cray to develop and build the nation’s fastest computer by 2021 for conducting nuclear weapons and other research, officials said Monday.

The Department of Energy and the Argonne National Laboratory near Chicago said they were working on a supercomputer dubbed Aurora with Intel, the world’s biggest supplier of data center chips, and Cray, which specializes in the ultra-fast machines.

The $500 million contract for the project calls on the companies to deliver a computer with so-called exaflop performance — that is, being able to perform 1 quintillion (1,000,000,000,000,000,000) calculations per second.

Computer
It also heightens the stakes in a race in which the United States, China, the European Union and Japan have all announced plans to build exaflop-capable supercomputers. VOA

If the project succeeds, Aurora would represent nearly an order of magnitude leap over existing machines that feature so-called petaflop performance, capable of doing 1 quadrillion (1,000,000,000,000,000) calculations a second.

It also heightens the stakes in a race in which the United States, China, the European Union and Japan have all announced plans to build exaflop-capable supercomputers.

One of Aurora’s primary functions would be simulating nuclear blasts, a pillar of weapons development since the ban of live detonation testings.

Aurora will be built with artificial intelligence capabilities for projects such as developing better battery materials and helping the Department of Veterans Affairs prevent suicides, Rick Stevens, an associate lab director with Argonne overseeing the exascale computing project, said during a news
briefing.

The project is a win for Intel, which will supply its Xeon CPU chips and Optane memory chips for Aurora.

FILE - The Nvidia booth is shown at the E3 2017 Electronic Entertainment Expo in Los Angeles, June 13, 2017.
The Nvidia booth is shown at the E3 2017 Electronic Entertainment Expo in Los Angeles, June 13, 2017. VOA

Intel has been fending off rival U.S. chipmaker Nvidia Corp.’s rise in the chip content of supercomputers as the machines take on more artificial intelligence work. Nvidia’s chips are found in five of the world’s current top 10 supercomputers, though the Nvidia chips are found alongside chips from its rivals, according to TOP500, which ranks the machines.

The world’s current most powerful machine, the Summit supercomputer at Oak Ridge National Laboratory in Tennessee, contains chips from International Business Machines Corp. and Nvidia.

The source of chips for supercomputers has become a factor in trade tensions between the United States and China. The world’s third-fastest supercomputer — the Sunway TaihuLight in China — has chips developed domestically in China.

Also Read: U.S. Tariffs on China Could Remain Same, Even After Reaching The Trade Deal

Chirag Dekate, an analyst with Gartner who studies the supercomputing market, said that despite the small contract size relative to Intel’s overall revenue, the work done on Aurora will eventually filter down to the company’s commercial customers.

“It’s not just a jingoistic race between the U.S. and China,” Dekate said. “The innovations that Intel is developing here will percolate down to other parts of its business.” (VOA)