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.

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

ChatGPT and alike often amaze us with the accuracy of their answers, but unfortunately, they also repeatedly give us cause for doubt. The main issue with powerful AI response engines (artificial ...

What makes Vivek Shah's story resonate so deeply is that his commitment to quality and alignment extends far beyond the realm of algorithms. Alongside his demanding role steering Gauge AI, he is the ...

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 ...

Artificial intelligence is moving quickly into mainstream medical devices, and the industry has become fluent in a familiar set of concerns: bias, transparency, and cybersecurity. These topics matter, ...

For most people, “algorithm” is a word they've heard only in the context of their social media feed. For tech-savvy insurance providers, however, AI-powered algorithms are taking on a major role in ...

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