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?

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 ...

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 ...

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

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 ...

I Created a Biased AI Algorithm 25 Years Ago—Tech Companies Are Still Making the Same Mistake. In 1998, I unintentionally created a racially biased artificial intelligence algorithm.

China’s restrictions on recommendation algorithms fill a gap in global regulations. Not coincidentally, though, they also serve to extend Chinese state control over internet-based services.