Researchers say just seeing the algorithm’s risk predictions about an arrestee could change how judges weigh pretrial decisions, prompting them to put more priority on risk than they would ...

For our getting-dressed example, a machine learning algorithm would be the equivalent of your remembering past decisions about what to wear, knowing how comfortable you feel wearing each item, and ...

A few key tips on how to help people come around to the use of algorithms in decision-making: Try using a simple model first. Start by explaining how the user benefits.

But algorithms are nothing more than computer programs making decisions based on rules: either rules we give them, or rules they figure out themselves based on examples we give them.

We’re living in a world now where algorithms adjudicate more and more consequential decisions in our lives. It’s not just search engines either; it’s everything from online review systems to ...

OPINION Who am I to decide when algorithms should make important decisions? The people who bear the risks of algorithmic systems should get to determine whether — and how — they’re used.

It’s also not clear how well they work. A 2016 ProPublica investigation found that a risk score algorithm used in Broward County, Florida, was “remarkably unreliable in forecasting violent ...

Key points. People often distrust algorithms due to "algorithm aversion," even when they outperform humans. In one study, age, extraversion, and trust were the most significant factors influencing ...

Algorithmic decision-making has enormous potential to do good. From identifying priority areas for first response after an earthquake hits to identifying those at risk of COVID-19 within minutes ...