In today's world, algorithms are everywhere—curating our Spotify playlists, suggesting YouTube videos, and even helping us make financial decisions. But despite their prevalence and power, many ...

How, then, can a single algorithm guide different robotic systems to make the best decisions to move through their surroundings?

Most people expect algorithms to make recommendations on the basis of maximizing some specific outcome, and many people are fine with that in amoral domains, according to the researchers. For example, ...

In another example, a commonly used algorithm for predicting the success of vaginal birth after a prior cesarean (VBAC) delivery predicts lower success for Black and Hispanic mothers relative to ...

The Justice in Forensic Algorithms Act aims to ensure that when algorithmic analyses are used as evidence in court, defendants get to know how the tools reached their conclusions and allow them to ...

While bidding optimization is one of the most powerful AI use cases in the ad industry’s tool kit, it remains underutilized.

Filterworld author Kyle Chayka examines the algorithms that dictate what we watch, read and listen to. He argues that machine-guided curation makes us docile consumers.

Designing AI to be more efficient has both upsides and downsides for consumers – here’s how to get the balance.

It doesn’t take much to make machine-learning algorithms go awry The rise of large-language models could make the problem worse ...

Filterworld author Kyle Chayka examines the algorithms that dictate what we watch, read and listen to. He argues that machine-guided curation makes us docile consumers.