Strypey

"... only 11 percent of firms that have deployed A.I. are reaping a 'sizable' return on their investments. One reason is that costs often turn out to be higher—much higher—than originally assumed. According to a fall 2020 MIT Sloan Management Review article, 'A good rule of thumb is that you should estimate that for every $1 you spend developing an algorithm, you must spend $100 to deploy and support it'.”

#JeffreyFunk, #GarySmith, 2021

https://slate.com/technology/2021/05/artificial-intelligence-moonshots-usually-fail.html

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#AI #MOLE

Why Ambitious Predictions About A.I. Are Always Wrong

Getting good at chess is one thing. Surpassing the human brain is quite another.

Slate
Feb 5 at 3:23amWeb
Show threadStrypeyFeb 5

This article ought to sound a warning for politicians and public agency decision-makers who are stampeding into ill-considered "AI" deployments. Often without fully evaluating the potential costs over time, or the risks created by dependencies on vendors of black box "AI" services. Not to mention ethical and legal questions around who is liable when these systems fail to work as advertised, and cause harm to citizens or the public good.

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