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 ...

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, ...

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.

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 ...

There are three key reasons why predictive algorithms can make big mistakes. 1. The Wrong Data An algorithm can only make accurate predictions if you train it using the right type of data.

Making algorithms completely transparent could create other problems, however. In 2006, for example, Netflix offered $1 million to the developers who submitted the best possible recommendation ...

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

"The methods we’ve developed can be used as a concrete prescription to evaluate the fairness of algorithms before they are used in, for example, municipalities and regions.