The last AI winter essentially started with this point. How will AI work in the messy and inconsistent real world? It works well already in focused approaches to narrow context worlds. Eric Schmidt of Alphabet (Google) on the topic in the BBC, With links to special reports on AI from the BBC. Good non technical piece:
" ... Can we reduce the noise of modern life by giving you smarter filters on your emails, your social media feeds, your schedule - can we give you less spam and more time? ... And how can we help scientists make sense of the overwhelming amount of data in genomics, energy and climate science? ... All those areas stand to benefit from smart, directed, thoughtful innovations in AI, which is why we need to keep thinking first and foremost about people's real needs, and the real world we all inhabit. .... "
He makes good points about complex domains, with well known problems of big and messy data flows. But I suggest there are many mundane domains we have also not started to address.
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