Pamela Weber Harris , a former high school math teacher contends in a new volume, Developing Mathematical Reasoning: Avoiding ...

The machine learning algorithm doesn’t identify the faces in any way that can link a face to a specific person, because it doesn’t use a training set—the set of examples used to train such ...

The use of technology in the hiring process can ... The way that these systems operate "creates serious risks of algorithm-facilitated discrimination", according to a study published by the ...

This has now led to the first clinical use of the algorithm, which has a CE mark in the EU, through Verily and Google’s retinal diagnostic tech at Aravind Eye Hospital this year. Trained ...

Last year, I spoke to the first two Pulitzer winners to disclose using AI in their work ... developed a custom image-recognition algorithm. He fed land titles and land registers the team had already ...

In March 2016, Microsoft learned that using Twitter interactions as training data for ML algorithms can have dismaying results. Microsoft released Tay, an AI chatbot, on the social media platform ...

How can we narrow the knowledge gap between AI “experts” and the variety of people who use, interact with, and are impacted by these technologies? How do we harness the potential of AI systems while ...

No wonder a 2018 McKinsey analysis of more than 400 advanced use cases showed that marketing was the domain where AI would contribute the greatest value. Thomas H. Davenport is the President’s ...

“Crime prediction” is when police use automated technologies for policing. It can also be called “predictive policing”. In our report Automated Racism - How police data and algorithms code ...

High-frequency trading (HFT) is an automated form of trading. It involves the use of algorithms to identify trading opportunities. HFT is commonly used by banks, financial institutions ...