Can we ever really trust algorithms to make decisions for us? Previous research has proved these programs can reinforce society’s harmful biases, but the problems go beyond that. A new study ...

Researchers adapt model predictive control from engineering to epidemic response, balancing health and economic costs under ...

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, ...

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 ...

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.

For example, the inclusion of race in clinical algorithms requires careful consideration: Some studies found benefit in removing race and ethnicity from clinical algorithms, 8,27,37–39 whereas ...

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