Earlier quoted context omitted.
bias is some normative lens that some people came up with, but it is purely subjective and is a social construct, that has roots in the area of social justice and has nothing to do with the LLM. the proof is that all critics of AI/LLM have never ever produced a single "unbiased" model. If unbiased model does not exist (at least I never seen an AI/LLM sceptics community produce one), then the concept of bias is useles…
If you forget about the social justice stuff for a minute, there are many other types of bias relevant for an LLM. One example is US-centric bias. If I ask the LLM a question where the answer is one thing in the US and another thing in Germany, you can't really de-bias the model. But ideally you can have it request more details in order to give a good answer.
As someone from outside the US, it is quite common to face annoyances like address fields expecting addresses in US format, systems misbehaving and sometimes failing silently if you have two surnames, or accented characters in your personal data, etc. Years go by, tech gets better, but these issues don't go away, they just reappear in different places.
It's funny how some people seem to have discovered this kind of bias and started getting angry with LLMs, which are actually quite OK in this respect.
Not saying that it isn't an issue that should be addressed, just that some people are using it as an excuse to get indignant at AI and it doesn't make much sense. Just like the people who get indignant at AI because ChatGPT collects your input and uses it for training - what do they think social networks have been doing with their input in the last 20 years?