According to foreign media reports, Google’s days as one of the world’s most powerful technology companies have not been better than in recent days. 250 companies and organizations, including the Guardian, have announced that they will stop advertising on Google’s platform. In their advertisements, there are images of extremist organizations, racial discrimination, and anti-Semitism.
In this regard, Google began to put more and more AI resources in the video content certification work, but now the problem is that the giant company's current algorithm is likely to not be competent for this task.
A recent study by the University of Washington clearly pointed out this issue. The research team tested Google's customer-oriented video content auto-classification Cloud Video Intelligence API. Although this system of APIs driven by deep neural networks performs very well in response to conventional video, it is very easy to be fooled by adversarial images.
University of Washington researchers pointed out that the company's API can mark objects such as "animals," "wild animals," "parks," "nature," "tourists," etc. to test video, but when they After inserting a picture of a car, the tag given by the API at this time may become "Audi". It is reported that the probability of this situation is as high as 98%.
According to researchers, this means that people can bypass the video filtering system by inserting a good picture into a certain illegal video.
Now, technology companies like Google, Facebook, and Twitter are all starting to use AI filtering systems to help them review content uploaded to their platform. However, AI can not be perfect, they will often make mistakes and be cheated. Therefore, these companies still need to make greater efforts to avoid the situation like this.
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