Artificial intelligence

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He’s shaking hands on a stage in a crowded room.

Canada shouldn’t try to build everything it needs for the AI era

Four children gathered around a laptop with an adult standing behind it.

Before schools embrace AI, Canada must protect children’s learning

Mark Zuckerberg seen on a laptop screen giving a presentation with the Meta logo to his left.

Canada can’t regulate Big Tech by trusting Big Tech

An illustration of two telephones communicating, one featuring an older man and the other a robot.

Artificial intelligence regulation must not leave older adults behind

A man holds apples while a woman works the register screen with a pile of produce on the conveyor belt.

Canada can stop surveillance pricing before it reaches the checkout

AI and machine-learning icons and symbols.

Ottawa’s AI strategy is built to inspire trust, not protect Canadians

In illustration featuring a large eye of computerized surveillance in the form similar to webcam watches a the tiny figure of a worker.

Workplace AI is writing the rules. Workers need to see them

A student using AI app on mobile phone during university lecture in amphitheater.

Universities need new ways to assess learning in the age of AI

AI accountability can’t be left to the CRTC

High-tech workers use robotics to build engine parts.

How innovation can build the Canadian economy

Will artificial intelligence lead to more unfairness?

Is the government picking the wrong place to start regulating algorithms?

It’s time for a public-safety conversation about artificial intelligence

Les droits technologiques des réfugiés et des citoyens

Knowledge mobilization will help Canada face the next major challenge

Policy-makers must get up to speed on AI

Canada can harness AI to help with post-pandemic recovery

AI must be used responsibly with vulnerable populations

Les universités doivent jouer un rôle accru dans l’univers numérique

Canada’s investments in innovation need to be bolder

Why creating an AI department is not a good idea

Canada must look beyond STEM and diversify its AI workforce

Technology isn’t shaping work the way we think

We’ll need a balancing act to profit from the skills revolution

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