Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling by designing the algorithms and rules that govern the learning process.

The organizations that succeed will be those that place empathy, transparency and fairness at the core of their AI journey.

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 ...

The growing prominence of health tech enlisting artificial intelligence has led to a lot of practical applications for automating a wide variety of administrative tasks, analyzing medical images for ...

Tech-savvy insurance providers are using AI-powered algorithms to automate underwriting needs and moderate risk.

Several years ago, teams of scholars published groundbreaking research that pointed to racial biases in algorithms that helped direct patient care at major health systems in the U.S. Those algorithms, ...