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New research has shown just how bad AI is at dealing with online trolls.
Such systems struggle to automatically flag nudity and violence, don’t understand text well enough to shoot down fake news and aren’t effective at detecting abusive comments from trolls hiding behind their keyboards.
A group of researchers from Aalto University and the University of Padua found this out when they tested seven state-of-the-art models used to detect hate speech. All of them failed to recognize foul language when subtle changes were made, according to a paper [PDF] on arXiv.
Adversarial examples can be created automatically by using algorithms to misspell certain words, swap characters for numbers or add random spaces between words or attach innocuous words such as ‘love’ in sentences.
The models failed to pick up on adversarial examples and successfully evaded detection. These tricks wouldn’t fool humans, but machine learning models are easily blindsighted. They can’t readily adapt to new information beyond what’s been spoonfed to them during the training process.
(Score: 0) by Anonymous Coward on Saturday September 01 2018, @10:07AM (2 children)
Of course artificial intelligence won't work against trolls. They are not posting from a position of intelligence or thought, the are posting with what most would see as the illogical motivation to provoke others for their own entertainment or profit.
It's got to be hard to train AI to combat those who are so outside the norm.
(Score: 3, Insightful) by The Mighty Buzzard on Saturday September 01 2018, @02:37PM (1 child)
Um... You haven't been on the Internet long, have you?
My rights don't end where your fear begins.
(Score: 1, Funny) by Anonymous Coward on Saturday September 01 2018, @05:46PM
Almost three weeks, why? Are there levels based on seniority?