CBC News analysis finds thousands of Canadian authors, books in controversial dataset used to train AI

A CBC News investigation has found at least 2,500 copyrighted books written by more than 1,200 Canadian and Québécois authors were shared online as part of a massive — and now defunct — dataset used for artificial intelligence training and research purposes.

The dataset’s existence and general highlights were revealed earlier this year in The Atlantic. It led to an avalanche of writers expressing shock on social media that their work had been included without their permission and sharing their concerns that AI tools could use information from the dataset to generate content in their distinct artistic voice. 

A CBC News analysis of the dataset, called Books3, identified thousands of Canadian and Québécois authors and books in both official languages. 

Although that content represents less than two per cent of the 190,000 plus files in Books3, it reads like a who’s who of the country’s literary community: three quarters of CBC’s Canada Reads contenders and Scotiabank Giller award nominees are featured, along with over a third of all Governor General’s Literary Award finalists.

WATCH | Their books were found in a dataset used to train AI: 

Authors shocked to find their books used to train AI without permission

Some of Canada’s most famous authors were shocked to find that their books have been used without their permission to train artificial intelligence software. The Writers’ Union of Canada says it is considering a lawsuit, but one law professor says it’s not clear if using the books to train AI is illegal.

Topping the list of Canadian authors with the most books in the dataset is Margaret Atwood, of The Handmaid’s Tale fame, followed by best-selling children and young adult writer Gordon Korman and Nobel Prize winner Alice Munro. 

“I’ve been writing kids books for more than three quarters of my

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Artificial intelligence helps doctors predict patients’ risk of dying, study finds: ‘Sense of urgency’

With exploration displaying that only 22% of People in america retain a created history of their stop-of-daily life wishes, a crew at OSF Health care in Illinois is employing artificial intelligence to enable doctors figure out which patients have a greater possibility of dying during their medical center remain.

The crew developed an AI design that is developed to predict a patient’s chance of death inside of 5 to 90 times soon after admission to the medical center, in accordance to a push launch from OSF. 

The aim is for the clinicians to be capable to have essential close-of-life discussions with these individuals.


“It’s a intention of our business that each individual one patient we provide would have highly developed treatment setting up discussions documented, so we could provide the care that they want — specially at a sensitive time like the end of their life, when they may possibly not be equipped to connect with us for the reason that of their clinical situation,” said lead review writer Dr. Jonathan Handler, OSF Healthcare senior fellow of innovation, in an job interview with Fox Information Electronic.

If clients get to the position wherever they are unconscious or on a ventilator, for case in point, it may perhaps be too late for them to convey their tastes.

Lead study creator Dr. Jonathan Handler is senior fellow of innovation with OSF Health care in Illinois. His crew made an AI model which is intended to predict a patient’s possibility of death in just five to 90 days after admission to the clinic.  (OSF Health care)

Ideally, the mortality predictor would prevent the circumstance in which individuals may die without acquiring the total profit of the hospice treatment they may possibly have gotten if their designs ended up documented

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BDC survey finds most businesses can weather the coming storm

Most say they can weather the economic storm — even though the worst is yet to come

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There appear to be a few glimmers of light as clouds gather on the horizon for Canada’s economy.

While Canadian businesses expect an economic downturn in the coming year, 69 per cent say they are prepared to face it, according to a new study by the Business Development Bank of Canada.

The BDC surveyed 1,500 small and medium-sized business owners across Canada to determine their level of confidence in

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An Artificial Intelligence That Finds Your Soul Mate: How A lot Would You Shell out?

On the internet daters know they can develop profiles on a number of platforms, but in accordance to a new survey done by Tidio, most folks would ghost them all for the holy grail: a courting application or web-site that utilized artificial intelligence (AI) to discover them a really excellent match.

And they’re keen to pay out for that privilege—39% would devote up to $40 for each thirty day period 25% explained it truly is worthy of $40 to $80 for each month but 30% wouldn’t fork out for an algorithmically fantastic companion.

Most people today (47%) would sign up for an AI-powered dating app to get a extensive-time period spouse, 33% just want friends, and 19% are looking for relaxed hookups. Those people first two stats are decreased for guys and greater for ladies.

AI is not going to persuade lots of people to leave their current relationship—only 7% reported they’d do that on the say-so of an algorithm. But 47% stated they’d deal with an AI’s separation advice as a partnership purple flag.


Folks would absolutely like an AI to support them make a improved profile to be “much more interesting” in an app. Specially guys. They also wouldn’t thoughts some AI support in chatting up anyone on the dating app, though 12% said it would be much too artificial to do that. Because, you know, folks on dating applications are so genuine.

As we enter the age of the metaverse, the concern arrives up: What of a likely companion which is principally or even only there for you in virtual truth? It can be a little something a large amount of individuals have believed about. Although the the greater part of individuals however want anyone to pair with IRL, a ideal AI companion is not out of

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