Someone once famously said, “You can’t manage what you can’t measure.” This certainly holds true for biases. We all have biases. Our conscious biases—or those we’re aware of—are fairly easy to ...

AI researchers from MIT, Intel, and Canadian AI initiative CIFAR have found high levels of stereotypical bias from some of the most popular pretrained models like Google’s BERT and XLNet, OpenAI’s GPT ...

Amber Stephenson does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...

AI models are filled to the brim with bias, whether that's showing you a certain race of person when you ask for a pic of a criminal or assuming that a woman can't possibly be involved in a particular ...

Concerns about bias in the coverage of news are old and pervasive. Many people have claimed that the news is too negative, too sensational, too friendly to one political party or another, or otherwise ...

The original definition of the word “bias,” when it entered the English language in the 16th century, was a diagonal line, and specifically one that cut across the warp or weft of a woven fabric. It ...

The question of AI ethics and bias remains a potent one - but are we framing these issues in the right way? A better approach would be centered around AI fairness. But can fairness be monitored? We ...

How to effectively measure ultra-low bias current by recreating the measurement scheme from an app note. Measuring input capacitance and input current. Creating a better measurement environment. 3. Cp ...