all arguments about supposed bias fall flat when you start asking question about ROI of the "debiasing work".
When you calculate $$$ required to de-bias a model, for example to make LLM recognize Syrian phone numbers: in compute and labor, and compare it to the market opportunity than the ROI is simply not there.
There is a good reason why LLMs are English-specific - because it is the largest market with biggest number of highest paying users for such LLM.
If there is no market demand in "de-biased" model that covers the cost of development, then trying to spend $$$ on de-biasing is pure waste of resources
all arguments about supposed bias fall flat when you start asking question about ROI of the "debiasing work".
When you calculate $$$ required to de-bias a model, for example to make LLM recognize Syrian phone numbers: in compute and labor, and compare it to the market opportunity than the ROI is simply not there.
There is a good reason why LLMs are English-specific - because it is the largest market with biggest number of highest paying users for such LLM.
If there is no market demand in "de-biased" model that covers the cost of development, then trying to spend $$$ on de-biasing is pure waste of resources