The larger concern is people treating function approximation as fact (especially in the models where it is technologically understood that what is happening is an estimation algorithm, or what is happening is semantically divorced from "understanding" the underlying fact-patterns and is instead a system building fact-like sentences from data that may or may not contain actual relevant facts).

There is definitely a huge gap between what is happening right now and public perception (and, I'd argue, a few people with a lot of money to gain or lose going out of their way to increase, not decrease, that gap).

In that context, the overall notion the post approaches (that Canada would do well to avoid basing decisions that could help or harm real people on the output of these unproven systems at this juncture) is a good notion.