In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...

The new system offers a way to move past difficult challenges by letting a digital helper take the lead when things get too tough.

Before deploying AI, organizations must align decisions, assign ownership and prepare people to act on AI insights.

Raising two children in New York City was expensive. Each day felt like a marathon they didn’t think they could finish. But the girls were thriving, and Rachel and Irvi were beloved at work. Every few ...

To mark International Women's Day, we spoke to Stephanie Burke and Rachael Hunnisett from April Mortgages to reflect on collaboration, challenge and triumph. We discussed how to outperform the odds as ...

By Rhett Ayers Butler Conservation has long wrestled with a deceptively simple question: not whether to act, but where action will matter most. Forest restoration, protected areas, wildlife corridors, ...

Behavioral changes—such as anxiety, depression, irritability, apathy or agitation, collectively known as neuropsychiatric ...

Few companies have been able to fundamentally change their operating and business models around AI. The primary obstacle to ...

Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...

Generative AI is transforming how leaders can use unstructured, regulated text to generate actionable insights. To illustrate this, researchers fine-tuned a GPT to analyze 10-K business descriptions ...

More teams now include AI, but few people know how to work with it. Here’s how human–AI teams can stay coordinated when ...

Every day, algorithms make consequential decisions about millions of people's lives—who gets approved for a mortgage, who is called back for a job interview, who receives priority care in a hospital ...