Imo personal opinion, 'AI' at this point is about augmentation of human action to reduce costs (time, materials, human attention, compute, etc), and actually, if you know what you're doing, it works and can make you money.
My group works extremely heavily in this space. We use a combination of human annotation and ML to speed up human annotation and improve the products of the ML component. Rinse, wash hands, recur until 95% of predictions are 95% accurate or better. Use ML to find the 5% of predictions that aren't up to snuff and lay hands on them (this is the part where you have to pay people). There is nothing shameful about including humans in the process.
Imo personal opinion, 'AI' at this point is about augmentation of human action to reduce costs (time, materials, human attention, compute, etc), and actually, if you know what you're doing, it works and can make you money.
My group works extremely heavily in this space. We use a combination of human annotation and ML to speed up human annotation and improve the products of the ML component. Rinse, wash hands, recur until 95% of predictions are 95% accurate or better. Use ML to find the 5% of predictions that aren't up to snuff and lay hands on them (this is the part where you have to pay people). There is nothing shameful about including humans in the process.