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Yes, but that bias has been present in everything related to computers for decades. As someone from outside the US, it is quite common to face annoyances like
by Al-Khwarizmi 2y ago
Yes, but that bias has been present in everything related to computers for decades.
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?
- slt2021 2y agoagree with you. 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