Re:GM Cruise to delay commercial launch of self-driving cars...
by darawk on Wednesday July 24, 2019 @01:35PM
(#20517540)
It's still systemic and correctable. The fact that the ML is somewhat opaque doesn't really matter here. You correct it by generating test cases and adding more training data related to those cases. The issues are still systemic and correctable.
In general, AI algorithms are famously opaque and hard to debug.
It's too long to explain here, but here are some links:
https://en.wikipedia.org/wiki/Explainable_artificial_intelli...
https://www.wired.com/story/greedy-brittle-opaque-and-shallo...
https://blogs.wsj.com/cio/2018/05/02/companies-grapple-with-...
https://thenextweb.com/artificial-intelligence/2017/04/23/ar...
https://towardsdatascience.com/need-for-explainability-in-ai...
https://www.forbes.com/sites/cognitiveworld/2018/12/20/geoff...
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BTW I'm also a cyclist. Human drivers can be annoying, but I find that they do act predictably. I've been cycling 5+ days a week in SF for 10+ years. I find that the drivers are worse when I bike in cities where bikes aren't as prevalent. Humans do learn. When you get into a conflict, there are emotions, and emotions are mechanisms for learning :)
It seems like you think that an AI is "just" a computer program, where the errors ARE indeed systematic and correctable. But AI is fundamentally different.