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 ...

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

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.

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

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, ...

Neural networks are demonstrating profound leaps in their abilities when they're tasked with open exploration instead of a narrowly focused goal.

Algorithms are increasingly being used to make ethical decisions. Perhaps the best example of this is a high-tech take on the ethical dilemma known as the trolley problem: if a self-driving car ...

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.

Ocasio-Cortez is right, algorithms are biased — but we can make them fairer by Alexandra Wood and Micah Altman, opinion contributor - 02/13/19 4:30 PM ET ...