Re:Using Neural Networks to Find Answers in Tables
by anonytrary on Tuesday May 05, 2020 @04:02AM
(#23077623)
We already have this problem, and Google's "search" widgets (e.g. dictionary, snippets, Q&A) are probably a big offender. Falsehoods are everywhere, but people tend to arrive at the truth, and once they do, the truth tends to go viral and flood fill over the falsehoods. What scares me is how easy it would be to create higher-order falsehoods. For example, X, Y, and Z are all false, but corroborate each other, making all of them more believable. These "regions" of falseness already trap millions of people today into throwing away their money -- think pyramid schemes, cults, etc.
I think you're absolutely right that this only going to be exacerbated.
Re:Using Neural Networks to Find Answers in Tables
by therealcamino on Tuesday May 05, 2020 @11:22AM
(#23080966)
The caramelized onion scandal on steroids...
https://gizmodo.com/googles-algorithm-is-lying-to-you-about-...
Re:Using Neural Networks to Find Answers in Tables
by londons_explore on Tuesday May 05, 2020 @03:59AM
(#23077606)
Google could resolve this will well thought out UX.
Each answer could have a "show working" link which would display extracts of the tables used to derive the result, with the specific data used highlighted.
They could also have a "show a different result" link which would display the next most likely result with a substantially different answer. The user can then compare both methods and decide if Google probably has it correct.
Re:Using Neural Networks to Find Answers in Tables
by chrisco255 on Monday May 04, 2020 @10:17PM
(#23075686)
Yeah, we think we run the machines but the machines really run us.
What makes me nervous though, is that I can easily see this becoming a scary consumer product people would trust at face value. A la, a Google Quick Answer box on steroids that's more difficult to verify.