ML is accustomed with the idea that all models are bad, and there are ways to test how good or bad they are. It's all approximations and imperfect representations, but they can be good enough for some applications.

If you think carefully humans operate in the same regime. Our concepts are all like that - imperfect, approximative, glossing over some details. Our fundamental grounding and test is survival, an unforgiving filter, but lax enough to allow for anti-vaxxer movements during the pandemic - survival test is not testing for truth directly, only for ideas that fail to support life.