For example, an algorithm called CB (color blind) imposes the restriction that any discriminating variables, such as race or gender, should not be used in predicting the outcomes.

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 ...

For example, the A-level algorithm adjusted results to try to replicate the previous overall achievements of different ethnic groups, which are likely to reflect racial inequality.

How, then, can a single algorithm guide different robotic systems to make the best decisions to move through their surroundings?

Though meant to make decisions around criminal justice, policing and public service easier, some are concerned algorithms designed by humans come with inherent bias and a need for oversight.

Under the right circumstances, algorithms can be more transparent than human decision-making, and even can be used to develop a more equitable society.

A special category of algorithms, machine learning algorithms, try to “learn” based on a set of past decision-making examples.

Artificial intelligence (AI) and algorithmic decision-making systems — algorithms that analyze massive amounts of data and make predictions about the future — are increasingly affecting Americans’ ...

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 ...

Algorithms are embedded into our technological lives, helping accomplish a variety of tasks like making sure that email makes it to your aunt or that you're matched to someone on a dating website ...