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 ...

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?

We rely on algorithms daily, yet many of us hesitate to fully trust them. Recent research explores the factors shaping our perceptions and some of the implications.

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 ...

We analyzed an algorithm that evaluates people claiming welfare benefits and found shocking discrimination.

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.