Across Canada, artificial intelligence is being adopted at a rapid pace in sectors ranging from healthcare to financial services. In Ontario, several hospital networks have begun using AI-assisted diagnostic tools that can flag potential abnormalities in medical imaging faster than traditional review methods. Proponents argue that this reduces wait times and allows physicians to focus on complex cases requiring human judgment. However, critics raise important concerns. First, AI systems are only as reliable as the data used to train them. If training datasets reflect historical biases — for example, underrepresenting certain ethnic groups — the resulting tools may perform less accurately for those populations. Second, the introduction of automation in workplaces such as call centres and data processing firms has displaced a notable number of entry-level workers, many of whom are recent immigrants building their first careers in Canada. The federal government has acknowledged these tensions. In 2023, Innovation, Science and Economic Development Canada released a voluntary code of conduct for responsible AI use, encouraging transparency and accountability among developers. Critics, however, argue that voluntary measures are insufficient and that binding legislation is needed to protect both workers and patients. As AI continues to evolve, Canadians are increasingly asking whether the speed of adoption is outpacing the development of adequate safeguards.

According to the passage, which of the following statements about AI adoption in Canada are true?

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