Algorithms are a staple of modern life. People rely on algorithmic recommendations to wade through deep catalogs and find the best movies, routes, information, products, people and investments.

Machine learning and artificial intelligence have taken organizations to new heights of innovation, growth, and profits thanks to their ability to analyze data efficiently and with extreme accuracy.

While artificial intelligence has the potential to make healthcare more accessible and efficient, it also is vulnerable to the social, economic and systemic biases that have been entrenched in society ...

Stephen Shankland worked at CNET from 1998 to 2024 and wrote about processors, digital photography, AI, quantum computing, computer science, materials science, supercomputers, drones, browsers, 3D ...

The Air Force's top intelligence officer warned of the dangers of using small or specific sets of data to train algorithms. (Airman 1st Class Luis A. Ruiz-Vazquez/U.S. Air Force) WASHINGTON — ...

Yonah Welker is an explorer and board member at Yonah.ai /.org, EU Commission Projects working to shape the future of algorithmic diversity. Similar to how AI systems may discriminate against people ...