Dr. Anu Gokhale, professor and chairperson in the Saint Augustine’s University Department of Computer Information Systems, gave a lecture at Alumnae Hall titled “Algorithmic Bias: Myth or Reality?” on ...

As AI-powered analytics become foundational to enterprise security operations, their promise of objectivity is increasingly ...

AI bias is an anomaly in the output of machine learning algorithms. These could be due to the prejudiced assumptions made during the algorithm development process or prejudices in the training data.

New research from the Women and Work APPG warns AI systems risk reinforcing gender inequality in recruitment, promotion and ...

One of the biggest barriers to using AI successfully is bias, which is one of the terms we defined last time, as follows: Bias, in a general context, refers to a predisposition or inclination towards ...

AI is riddled by bias, especially in healthcare. Just one well-known example is a study from 2019 that revealed racial bias in a clinical algorithm used by hospitals showing that Black patients had to ...

True or false? Humans are fallible and biased while computers are logical and impartial. For years, data scientists held a belief in that statement, and algorithms were written with confidence that ...

In August 2022 the Department of Health and Human Services (HHS) issued a notice of proposed rulemaking prohibiting covered entities, which include health care providers and health plans, from ...

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 ...