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Canada Government

Artificial intelligence researchers receive $9M from Alberta government


The Alberta government is giving $9 million in funding to the Alberta Machine Intelligence Institute (Amii) in an effort to promote the province's tech sector. The funding is made up of $4 million from Alberta Innovates and $5 million through the Technology Innovation and Emissions Reduction system. The government says it's Investment and Growth Strategy has identified developing Alberta's technology sector as a top priority. They hope it will make way for investment and innovation in other Alberta industries including agriculture, aviation and energy. "Our investment demonstrates that Alberta's government recognizes the important role that Amii and the University of Alberta plays in creating a stronger economy," said Minister of Advanced Education Demetrios Nicolaides.

Canadian police charged a Tesla owner for sleeping while driving


Police in Canada say they recently charged a Tesla Model S owner with driving dangerously for sleeping at his car's wheel. In July, the Royal Canadian Mounted Police (RCMP) say they responded to a speeding complaint on Highway 2 near Ponoka -- a town in Alberta, south of the province's capital of Edmonton. Those who saw the car report it was traveling faster than 140 kilometers per hour (86MPH), with the front seats "completely reclined," and both the driver and passenger seemingly asleep. When a police officer found the 2019 Model S and turned on their emergency lights, the vehicle accelerated to 150 kilometers per hour (about 93MPH) before it eventually stopped. Police initially charged the driver, a 20-year-old man from the province of British Columbia, with speeding and handed him a 24-hour license suspension for driving while fatigued. He was also later charged with dangerous driving and has a court date in December.

Tesla driver, 20, charged after found asleep at wheel of self-driving car traveling over 90 mph: cops

FOX News

Fox News Flash top headlines are here. Check out what's clicking on A Canadian man has been charged after he was found asleep at the wheel of a self-driving Tesla traveling over 93 mph down a highway in the province of Alberta, authorities said on Thursday. The July 9 incident occurred after authorities received a complaint that a Model S Tesla was speeding on a highway near the town of Ponoka, located about 60 miles south of Edmonton, according to a release by Alberta Royal Canadian Mounted police (RCMP). "The car appeared to be self-driving, traveling over 140km/h, with both front seats completely reclined and both occupants appearing to be asleep," the RCMP said in a statement.

Interpretable Machine Learning Approaches to Prediction of Chronic Homelessness Artificial Intelligence

A 2016 report claims that annually upwards of 235 000 Canadians endure periods of homelessness, with approximately 35 000 individuals lacking a place to stay each night [1]. Between 2005 and 2014, there was a downward trend in the total number of Canadians using shelters; however, the occupancy rates of shelters has been increasing [1]. One factor accounting for this ongoing decrease in the number of homeless individuals paired with an increase in shelter occupancy is an increase in chronic homelessness. London's Homeless Prevention division identifies an individual as chronically homelessness if they have spent 6 or more months ( 180 days) of the last year in a shelter, which was based on the definition of chronic homelessness outlined by the Canadian government's homelessness strategy directives [2]. In addition to this trend, the demographics of homelessness are changing in Canada. In preceding decades, older, single males are over-represented in the homeless population; in contrast, the homeless population of today is increasingly diverse, with families, women, and youth comprising a greater fraction [1].

Using Data and AI to Predict Disease Outbreaks - Canadian Government Executive


AI is seen as one of the first lines of defence in a pandemic. Given the current situation with COVID-19, hospitals and healthcare facilities are using AI to help screen and triage patients and identify those most likely to develop severe symptoms. The use of data and analytics is also helpful to track and contain diseases. As the Global Government Practice lead, Steve Bennett is helping governments around the world put their data to work for the citizens they serve. In his current role, he drives strategic industry positioning and messaging in global government markets.

The World Has a Plan to Rein in AI--but the US Doesn't Like It


In December 2018, Canada and France announced plans for a new international body to study and steer the effects of artificial intelligence on the world's people and economies. Canadian prime minister Justin Trudeau said the International Panel on Artificial Intelligence would be established by the Group of Seven leading western economies and play a role in "addressing some of the ethical concerns we will face in this area." It was to be modeled on the UN's Intergovernmental Panel on Climate Change, which helped establish consensus on the world's climate crisis and recommends possible responses. Just over a year later, the IPAI has been renamed the Global Partnership on AI, but it still hasn't quite gotten off the ground. Six of the G7 are on board--with the United States the lone holdout.

The Ethical Dimension of Artificial Intelligence


However, the frequency in which the Canadian government employs AI is worrying for some. Fears of governments using AI to infringe on private freedoms are very real, as some countries, such as China, have begun to use facial recognition software for police surveillance. Furthermore, people are rapidly losing confidence in social media platforms and Internet security, often citing the absence of human intervention in the decisions that algorithms make as the cause. Furthermore, 54% of North Americans express concern for their online privacy, and the non-consensual use of personal data by social media companies and federal governments do little to ease these fears. While more Canadians are more concerned about their online security due to threats posed by internet companies, at least 59% fear for their personal information being used by their own government.

5G and AI – Getting Smart About 5G and AI in Canada


Canada has been investing in machine learning and artificial intelligence (AI) for longer than most of the industrialized world. Dr. Geoff Hinton of Google helped ignite the field of graphics processing unit (GPU) deep learning at the University of Toronto. Then he became chief scientific advisor to the Vector Institute, which in collaboration with the University, aims to produce the largest number of deep learning AI graduates and innovators globally. It's the home of computer scientist Yoshua Bengio, who is another pioneer of AI technology. Hundreds of AI researchers and doctoral students are concentrated at McGill University and the University of Montreal.

France and Canada move forward with plans for global AI expert council


How will humanity manage the growth of artificial intelligence systems? To answer that, French and Canadian officials are drafting a blueprint for an expert council that they hope could be a prototype for global cooperation on AI policy. The Global Partnership for AI (GPAI), advanced over the past year by French president Emmanuel Macron and Canadian prime minister Justin Trudeau, has started to take shape in a series of transatlantic negotiations in the past few months. While many details have yet to be resolved, negotiators hope for a general understanding by the end of this year, according to Malik Ghallab, director emeritus of a French state robotics lab in Toulouse, who is active in the planning process. The idea is to create a standing forum – involving government, industry and academia – to monitor and debate the policy implications of AI globally.

Artificial Intelligence: Risk, reward and reality


The Canadian government is taking the lead in setting governance standards in the application of AI, prescribing a risk-based framework that can be a model for creating an AI-powered organization. The Directive on Automated Decision-Making classifies AI decisions based on the potential impact of their outcomes as well as on the sustainability of ecosystems. The directive makes it clear that AI is not a one-size fits all problem. If an automated decision is going to directly affect the rights, health and economic interests of individuals, communities and entities, the AI application needs to be managed by rules that match the potential harm it could cause. In many cases, these rules call for the intervention and review of the decision by humans to ensure appropriate oversight.