Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

A complementary approach to AI aims to build tools that encourage collaboration rather than bypass human input.

Artificial intelligence (AI) developed its reputation for efficiency and predictability through systematic decision making procedures. However, disruptors are rising to contest the basic algorithms ...

What makes Vivek Shah's story resonate so deeply is that his commitment to quality and alignment extends far beyond the realm ...

Scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory have developed a novel artificial ...

I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

AI is rapidly entering clinical care, but malpractice law has not kept pace. As adoption accelerates, clinicians are being ...

Some of the most effective brand investments don’t show ROI, attribution or lift. That’s exactly why AI struggles to value ...

Overview: AI now supports doctors across diagnosis, triage, and operations in hospitals and clinics.From cancer screening to ...

How the Cyberspace Administration of China inadvertently made a guide to the country’s homegrown AI revolution.