China’s leading Internet-search company, Baidu, has developed a voice system that can recognize English and Mandarin speech better than people, in some cases. The new system, called Deep Speech ...

Context reduces racial bias in hate speech detection algorithms Date: July 7, 2020 Source: University of Southern California Summary: When it comes to accurately flagging hate speech on social ...

The algorithm uses neural networks, more popularly called as deep learning. These algorithms are inspired from the human brain, and they try to simulate how humans learn from examples.

They found the single algorithm that included three categories—hate speech, offensive speech, and ordinary speech—as opposed to two, did a better job of avoiding false positives.

Instead, we found widespread bias in a variety of hate speech detection datasets, which if you train machine learning models on them, those models will be biased against African American English ...

Deep learning defined. Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem ...

“Deep learning architectures are now being used for all components of that speech processing system and merging these structures that learn everything to solve the problem as a whole. As you can ...

Hate speech reported by users and others -- including against white people, Americans and men -- will still be removed. Facebook uses a mix of human reviewers and technology to remove harmful content.