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Humanity’s days are numbered, Artificial Intelligence (AI) will cause mass extinction, warns Stephen Hawking

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Scientist Stephen Hawking giving his views on the danger of Artificial Intelligence (AI)
Scientist Stephen Hawking giving his views on the danger of Artificial Intelligence (AI)
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London, Nov 3: Earth is becoming too small and humanity is bound to self-destruct, with Artificial Intelligence (AI) replacing us as the dominant being on the planet, according to scientist Stephen Hawking.

Professor Hawking says that our time on Earth is numbered after we passed the point of “no return”.

The theoretical physicist says that developments in AI have been so great that the machines will one day be more dominant than human beings, express.co.uk reported.

He told Wired Magazine: “I fear that Artificial Intelligence (AI) may replace humans altogether. If people design computer viruses, someone will design AI that improves and replicates itself.

“This will be a new form of life that outperforms humans.”

Hawking, 75, said that humans need to leave Earth if we are to continue as a species.

He said a new space programme should be humanity’s top priority “with a view to eventually colonising suitable planets for human habitation”.

This will allow us to leave Earth and colonise another planet to ensure our survival, otherwise there will be “serious consequences”.

Professor Hawking added: “I believe we have reached the point of no return. Our earth is becoming too small for us, global population is increasing at an alarming rate and we are in danger of self-destructing.”

Last year, at the opening of Cambridge University’s artificial intelligence centre, Professor Hawking said that AI could either be the best or worst invention humanity has ever made.

“This will be a new form of life that outperforms humans.”

“The potential benefits of creating intelligence are huge. We cannot predict what we might achieve, when our own minds are amplified by Artificial Intelligence (AI).

“Perhaps with the tools of this new technological revolution, we will be able to undo some of the damage done to the natural world by the last one – industrialisation.

“And surely we will aim to finally eradicate disease and poverty. Every aspect of our lives will be transformed, In short, success in creating AI, could be the biggest event in the history of our civilisation.

“But it could also be the last, unless we learn how to avoid the risks. Alongside the benefits, AI will also bring dangers, like powerful autonomous weapons, or new ways for the few to oppress the many.” (IANS)

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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)