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 ...

Algorithms have become increasingly pervasive as organizations in both the public and private sectors have sought to automate tasks that once required human intelligence. From facial recognition to ...

Our recent paper in Science showed that an algorithm widely used for population health management has significant racial bias. The scale of impact is large, affecting health care decisions for at ...

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 ...

Bias in AI systems is proving to be a major stumbling block in efforts to more broadly integrate the technology into our society. A new initiative that will reward researchers for finding any ...

As I’ve mentioned, one of the biggest problems emerging from the AI revolution has been the thorny question of AI bias. We’ve already seen AI models used for predictive policing accused of ...

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 ...