Artificial Intelligence: Some Limitations
May 27, 2020
I just completed an interview with two professional musicians. The subject was the sone written by smart software for the Eurovision music competition. One of the key points articulated by the two accomplished musicians was that the AI tune lacked surprise. The DarkCyber team should have the interview ready to post in the next three or four days.
While you wait for that interview, I suggest you read “Why Is Artificial Intelligence So Useless for Business?“That article states:
What’s more, artificial research teams lack an awareness of the specific business processes and tasks that could be automated in the first place. Researchers would need to develop an intuition of the business processes involved. We haven’t seen this happen in too many areas. The big successes have happened where the problem is easily understood and has many publicly-available examples (machine translation), where there is a promise of a massive ROI (self-driving cars), or where a large company arbitrarily decides to throw enough resources at the problem until they can crack it (AlphaGo).
Where can AI deliver a big payoff? The article asserts:
This means, however, that we can expect artificial intelligence to succeed in automating business processes when 1) researchers are able to focus on a specific problem, and 2) they are able to accumulate enough data to train a workable model. (Another criterion for success is that should aim to empower the people involved in the process, not replace them, but that is for a different discussion.)
Good points. Wisdom, creativity, insight? Marketers think it is here. Consultants think it will arrive. Two musicians know software may never deliver those three “features”.
Stephen E Arnold, May 27, 2020
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