Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

Based on data, machine learning can quickly and efficiently analyze large amounts of information to provide suggestions and help make decisions. For example, phones and computers expose us to machine ...

AI is riddled by bias, especially in healthcare. Just one well-known example is a study from 2019 that revealed racial bias in a clinical algorithm used by hospitals showing that Black patients had to ...

This guest post from Alegion explores the reality of machine learning bias and how to mitigate its impact on AI systems. Artificial intelligence (AI) isn’t perfect. It exists as a combination of ...

Source: Walther, Claude. 2025 Artificial intelligence is used to generate everything from news articles to marketing copy. This pervasive AI influence comes with a troubling pattern: AI systems ...

Physics may seem like its own world, but different sectors using machine learning are all part of the same universe. In 2017, Savannah Thais attended the NeurIPS machine-learning conference in Long ...

Black and brown students make up over half of U.S. K-12 students, yet many AI-driven ed-tech tools are not designed with their needs in mind, according to a yearslong project launched in 2020 by the ...

In our current information environment, artificially intelligent, algorithm-driven technologies mediate essentially all information and communication, and they demonstrably influence our ...