In recent years, employers have tried a variety of technological fixes to combat algorithm bias — the tendency of hiring and recruiting algorithms to screen out job applicants by race or gender. They ...

Phillips & Associates reports AI algorithms are reshaping hiring practices, raising concerns over bias and legal ...

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 ...

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing, ...

The hype around ChatGPT and other generative-artificial-intelligence technology is highlighting a continuing challenge for businesses: how to keep bias out of their own AI algorithms. Businesses are ...

The most popular data are vital signs, which include such things as blood pressure, heart rate, respiration rate, temperature, oxygen saturation and so forth. Often these data are fed into the EHR ...

New research by Questrom’s Carey Morewedge shows that people recognize more of their biases in algorithms’ decisions than they do in their own—even when those decisions are the same Algorithms were ...