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 ...

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 ...

Haewon Jeong, an assistant professor in UC Santa Barbara’s Electrical and Computer Engineering (ECE) Department, experienced a pivotal moment in her academic career when she was a postdoctoral fellow ...

While the technological hype of AI is seemingly endless and ripe with possibilities, what this excitement hides is a darker side: The ethics and bias of AI, and the harmful outcomes as a result of ...

The scenario: You're preparing for a job interview. The stakes feel high. You want — you need — this job. So you do what millions of people now do: you ask an AI chatbot for advice on salary ...

AI should be a dream for any chief data officer, but before you can embrace the full creative effectiveness and efficiencies of AI, there’s a problem afflicting its ability to produce strong ideas ...

As artificial intelligence (AI) rapidly integrates into the fabric of our lives, the conversation around its ethical implications becomes increasingly urgent. For business leaders, navigating this ...

Statistics and science have been publicly slammed by some. The issues of climate change and COVID-19, in particular, have stirred accusations of bias, conspiracies, and even hoaxes (Philipp-Muller et ...

Here's what you may already know about Lenovo: The multinational technology giant ships more PCs than any other company. Also, Lenovo's diverse business investments span tablets, monitors, accessories ...