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?

The new algorithm could help robots make safer, smarter decisions around humans, even amidst the greatest uncertainties.

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 ...

An innovative algorithm called Spectral Expansion Tree Search helps autonomous robotic systems make optimal choices on the move.

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.

For example, the kidney allocation system is an algorithm-based protocol used to prioritize patients for kidney transplants on the basis of the amount of time they have been on the national ...

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 ...

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 ...

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, ...