Amazon's AI tool, for example, was trained on resumes from a male-dominated industry, which led to gender bias. 2. Flawed data sampling. Flawed data sampling occurs when the dataset used to train an ...

When it comes to artificial intelligence and inequality, algorithmic bias rightly receives a lot of attention. But it’s just one way that AI can lead to inequitable outcomes. To truly create equitable ...

YouTube has two billion active monthly users and uploads 500 hours of content every minute. Twenty five percent of U.S. adults get their news from YouTube, and 60% of regular users “use the platform ...

According to data from Duke University Reporters' Lab, there are 443 platforms actively engaged in fact-checking worldwide (Duke Reporters' Lab, 2025). These organizations play an important role in ...

Designer Talia Cotton wanted to create an unbiased logo, so she put an algorithm to work. But that raised all kinds of thorny questions about whether design can ever really be neutral. The practical ...

The algorithm was designed with good intentions: identify patients who would benefit from extra medical care. This would help them avoid future complications and, in turn, relieve strain on the ...

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