A machine learning expert predicts a new balance between human and machine intelligence is on the horizon. For that to be good news, researchers need to figure out how to design algorithms that ...

We know that algorithms can outperform humans across an expanding range of settings, from medical diagnosis and image recognition to crime prediction. However, an ongoing concern is the potential for ...

Scientifically, it is difficult to tell how much social media can be blamed for one-off incidents. But in much the way that climate change increases the risk of extreme weather, evidence suggests that ...

The reality is more complicated. Poorly designed algorithms can indeed exacerbate historical inequalities, but well-designed algorithms can mitigate pernicious problems with unaided human decisions.

Researchers have devised a new framework for designing machine learning algorithms that helps prevent intelligent machines from being biased.

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

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Yes, “algorithms” can be biased. Here’s why Op-ed: a computer scientist weighs in on the downsides of AI.

Large language models can be "poisoned," creating software that appears benevolent but is secretly misbehaving behind the scenes.