Re:Optical illusions that flummox computers
by joe_the_user on Saturday April 15, 2017 @05:29PM
(#14122950)
The deployment of the Internet and the deployment of deep learning systems are quite different issues.
The Internet faced the problem of harnessing the power of computer networks required a critical mass and that none of the "ideal" conceptions could achieve this (especially since "ideals" usually didn't understand the full potential of the system). Here "worse is better" made sense.
Neural Nets and related systems are deployed by large companies with lots of data and used to provide guidance and decision making (where network effect isn't a big factor either way).
With "guidance" - product recommendations or optional translations, the dangers seem relatively small. With decision making systems, the dangers seems considerable and not totally thought through - you have everything from people falsely flagged by face-recognition software to neural networks that derive racist loan policies to the spoofing potential that management recommendation engines might offer.
Could you spoof a stock decision system by making a series of stock trades that has previous preceded a big move? I don't know but I assume someone is thinking of ways to use neural spoofing to get something from someone as we speak.
The Internet faced the problem of harnessing the power of computer networks required a critical mass and that none of the "ideal" conceptions could achieve this (especially since "ideals" usually didn't understand the full potential of the system). Here "worse is better" made sense.
Neural Nets and related systems are deployed by large companies with lots of data and used to provide guidance and decision making (where network effect isn't a big factor either way).
With "guidance" - product recommendations or optional translations, the dangers seem relatively small. With decision making systems, the dangers seems considerable and not totally thought through - you have everything from people falsely flagged by face-recognition software to neural networks that derive racist loan policies to the spoofing potential that management recommendation engines might offer.
Could you spoof a stock decision system by making a series of stock trades that has previous preceded a big move? I don't know but I assume someone is thinking of ways to use neural spoofing to get something from someone as we speak.