Tag Archives: Artificial Intelligence

What if AI becomes smarter than we are?

All bets are off if AI becomes smarter than people, develops ability to design machines

Task of imposing ethics and restraints on tech is greater now, writes Diane Francis.

GETTY IMAGES FILES Robust ethical and legal frameworks are needed to prevent the next pandemic or hazardous algorithm, Diane Francis warns.

Technology is bestowing wonderful opportunities and benefits to the world, but the acceleration of development, and lack of global regulatory control, represents the biggest threat going forward.

Cool toys, fancy devices and health-care cures are positive developments.

But less benign will be the development, without guard rails, of artificial intelligence that matches human capability by 2029. Worse yet, this will be followed by the spectre of what’s known as General AI — machines capable of designing machines.

Another worrisome field is synthetic biology, genetic engineering and the propagation of androids or AIS on two legs with personalities.

Mankind has faced similar technological challenges, notably nuclear weapons, but famous physicist Robert Oppenheimer rose to the challenge.

He ran the Manhattan Project to develop the atomic bomb, realized its danger, then spent decades lobbying leaders to create the Nuclear Non-proliferation Treaty, the cornerstone of nuclear control, which took effect in 1970.

Oppenheimer is the only reason why humanity didn’t blow itself to bits, but today there is no scientist of the stature of Oppenheimer to devote his life to ensuring governments bridle the transformative technologies under development now.

And the threat is greater. Bombs, after all, are controlled by human beings, not the other way around. But if AI becomes smarter than humans, then all bets are off.

The task of imposing ethics and restraints on science, technology and engineering is greater now.

Nuclear capability requires massive amounts of scarce materials, capital and infrastructure, all of which can be detected or impeded.

But when it comes to exponential tech, simply organizing governments or big corporations won’t do the trick because the internet has distributed knowledge and research capability across the globe.

This means the next pandemic or hazardous algorithm or immoral human biological experimentation can be conducted in a proverbial “garage” or in a rogue state.

The late, legendary physicist Stephen Hawking warned in 2017: “Success in creating effective AI could be the biggest event in the history of our civilization. Or the worst.

We just don’t know. So, we cannot know if we will be infinitely helped by AI, or ignored by it and sidelined, or conceivably destroyed by it.”

Tesla founder Elon Musk and others have been vocal about this risk, but international action is needed.

To date, these fears and ethical constraints have only been addressed in petitions and open letters signed by important scientists but these have not captured global attention, nor have they provoked a political movement.

In 1975, the Asilomar Conference on Recombinant DNA led to guidelines about bio-safety that included a halt to experiments that combined DNA from different organisms.

Then, in 2015, an open letter concerning the convergence of AI with nuclear weapons was signed by more than 1,000 luminaries, including Apple co-founder Steve Wozniak, Hawking and Musk.

They called for a ban on AI warfare and autonomous weapons, and eventually led to a United Nations initiative.

But four years later, the UN Secretary General was still urging all member nations to agree to the ban.

Only 125 had signed. Without robust ethical and legal frameworks, there will be proliferation and lapses. In November 2018, for instance, a rogue Chinese geneticist, He Jiankui, broke long-standing biotech guidelines among scientists and altered the embryonic genes of twin girls to protect them from the HIV virus.

He was fired from his research job in China, because he had intentionally dodged oversight committees and used potentially unsafe techniques.

Since then, he has disappeared from public view.

There’s little question that, as U.S. entrepreneur and engineer Peter Diamandis has said, “we live in extraordinary times.”

There is also much reason for optimism. But for pessimism, too.

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Montreal conference on Artificial Intelligence

 

AI poses ethical double-edged sword, experts tell Montreal conference

Montreal Gazette JACOB SEREBRIN

Artificial intelligence has the power to eliminate mundane jobs and create tremendous wealth, but it could also lead to widespread unemployment and reinforce existing inequalities.

That was the message at the forum on the socially responsible development of artificial intelligence, a two-day conference that ended on Friday.

Montreal has an opportunity to take a leading role in lead in ensuring AI technology is used responsibly, said Marie-Josée Hébert, the vice-rector of Research, Discovery, Creation and Innovation at the Université de Montréal and one of the organizers of the conference.

The forum was intended to bring academic researchers together with industry and government to exchange ideas about the responsible development and use of AI, she said. That’s important because the technology has the power to change the foundations of our society, she said.

Issues raised at the forum ranged from who is legally liable if a selfdriving car gets in an accident, to the possibility AI will lead to widespread unemployment.

Some of the issues are already here — like the ability for the creators of AI systems and the producers of data to introduce their own biases into AI systems.

“If you have an algorithm that sees biased data, gender-biased, racially biased, biased based on economic status and so on, the algorithm is going to ingest that and result in a biased model,” Doina Precup, a professor of computer science at McGill and the head of Google-affiliated DeepMind’s Montreal research lab, said in a session at the conference.

While AI systems are currently tools used by people, in the future, there could be general AI systems that act on their own, she said, which raises further questions of responsibility.

“Are AIs ever going to get to a stage where they’re sufficiently complex to be responsible for what they do? That I think is an open question,” Precup said.

There are also issues related to monopoly power, Yoshua Bengio, a U de M professor and one of the founders of Element AI, which sells AI services to businesses, said in a speech at the event.

A handful of large companies could control the data required for AI systems to “learn” and hire the majority of top researchers, creating a situation where other businesses couldn’t catch up, Bengio said. He also raised the issue of autonomous robots with the ability to kill, calling on the Canadian government to take a similar approach to this technology as it took with landmines.

“We are really at the cusp of something that it is important,” Hébert said. “It’s important to initiate these conversations before it’s too late, but it’s going to be as important to maintain these conversations as we go.”

As part of that process, the forum has created what it calls the Montreal Declaration for a Responsible Development of Artificial Intelligence. Over the next few months, that document will be developed through a process of “co-creation” and consultation with the general public.

The goal is to “establish a consensus on basic principles that are representative of our values,” Hébert said, “that should all guide us to how we are going to live through this phase of innovation and transformation.”

We are at the cusp of something important. It’s important to initiate these conversations before it’s too late.

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Let’s capitalize on AI revolution

Montreal is welcoming leading technologists to the city this week for the C2 (commerce/creativity) conference, just as the city could be on the verge of becoming an international hub for Artificial Intelligence (AI) technology. Capitalizing on this brewing revolution will require governments to drastically alter traditional modus operandi, loosening their grip on the entrepreneurial class and suppressing nationalistic impulses.

Advocating for massive government spending with little restraint admittedly deviates from the tenor of these columns, but the AI business is unlike any other before it. Having leaders acting as fervent advocates for the industry is crucial; resisting the coming technological tide is, as the Borg would say, futile.

The roughly 250 AI researchers who call Montreal home are not simply part of a niche industry. Quebec’s francophone character and Montreal’s multilingual citizenry are certainly factors favouring the development of language technology, but there’s ample opportunity for endeavours with broader applications.

AI isn’t simply a technological breakthrough; it is the technological revolution. In the coming decades, modern computing will transform all industries, eliminating human inefficiencies and maximizing opportunities for innovation and growth — regardless of the ethical dilemmas that will inevitably arise.

“By 2020, we’ll have computers that are powerful enough to simulate the human brain,” said (in 2009) futurist Ray Kurzweil, author of The Singularity Is Near, a seminal 2006 book that has inspired a generation of AI technologists. Kurzweil’s projections are not science fiction but perhaps conservative, as some forms of AI already effectively replace many human cognitive functions. “By 2045, we’ll have expanded the intelligence of our human-machine civilization a billion-fold. That will be the singularity.”

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