Friday 7 February 2020
There are plenty of examples of AI models being fooled out there. From Google’s AI to detect images mistaking a turtle for a gun to Jigsaw’s AI to score toxic comments tricked to think a sentence is positive by including words like love. Now, researchers at Computer Science and Artificial Intelligence Laboratory (CSAIL), MIT, have developed a new system called TextFooler that can trick AI models that use natural language processing (NLP) — like the ones used by Siri and Alexa. This is important to catch spam or respond to offensive language. TextFooler is a type of adversarial system that is…
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