Artificial intelligence (AI) tools used in medicine, like AI used in other fields, work by detecting patterns in large volumes of data. AI tools are able to detect these patterns because they can ...

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 ...

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.

Jodi Daniels is a privacy consultant and Founder/CEO of Red Clover Advisors, one of the few Women’s Business Enterprises focused on privacy. In 2014, two Oregon college students spent hours on a ...

This is a preview. Log in through your library . Abstract In the estimation of proportions by pooled testing, the MLE is biased. Hepworth and Biggerstaff (JABES, 22:602–614, 2017) proposed an ...

As marketing and communications specialists in the AI space, it’s our responsibility to select the right words when it comes to communicating about responsible AI. Our words shape discussions, which ...

Journal of Hydrometeorology, Vol. 20, No. 9 (September 2019), pp. 1887-1906 (20 pages) Subseasonal to seasonal (S2S) weather forecasting has made significant advances and several products have been ...

Opinions expressed by Entrepreneur contributors are their own. AI and machine learning are becoming synonymous with business success. Everywhere you look, companies are utilizing data to reach new ...

The latest trends and issues around the use of open source software in the enterprise. We need insurance against data bias, particularly (obviously) in the world of Machine Learning (ML) as it feeds ...