As chief data officer for the Cybersecurity and Infrastructure Security Agency, Preston Werntz has made it his business to understand bias in the datasets that fuel artificial intelligence systems.

Haewon Jeong, an assistant professor in UC Santa Barbara’s Electrical and Computer Engineering (ECE) Department, experienced a pivotal moment in her academic career when she was a postdoctoral fellow ...

Chances are that you’re familiar with the concept of bias. It is widespread, turning up in discussions about scientific discoveries, politics or cognitive processes. In artificial intelligence and ...

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.

AI transformation cannot be "AI for everything." Successful enterprises focus on a limited set of high-impact use cases with measurable outcomes.

While appreciation that algorithms and machine-learning programs are not immune to bias is increasingly mainstream, ongoing plans to correct for bias in said programs among businesses that use them ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Data labeling is one of the most fundamental aspects of machine learning.

The Fair Isaac Corporation, or FICO, is one of America’s leading credit reporting agencies. Now, the company has developed a partnership with historically Black colleges and universities (HBCUs) with ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Compliance departments are under great ...

Recency bias is an underappreciated challenge in data analytics, particularly when historical data is used to draw trends and make predictions. Rolling Stone recently updated its list of the 500 ...

Opinions expressed by Entrepreneur contributors are their own. Women are still considered second, and you might not even realize all the ways this is done. Some are obvious: Women earn less than men ...