Yeah, I'm just not gullible enough to be fooled by vague terms like "fairness" where whoever's in charge is going to decide what is fair and what isn't based on (most likely) some arbitrary worldview (which is most likely woke).
If you go through the links, specifically [3], you will find pretty objective definitions of multiple perspective of fairness. This is a mathematical concept.
Actually, you just woefully misunderstand that objectivity, while never perfectly attainable, is indeed a metric, and that the bias of a model is inherently linked to the variety and quality of training data.
OP mentioned nothing about fairness; that's orthogonal to objectivity, and you're projecting your worldview onto OP's.
In most cases, it's not an "arbitrary world view", it's "reality."