There's a familiar TV discourse taking shape online right now, the kind that I suspect will look awfully familiar to you if you remember the … The post Squid Game’s unnecessary final season is another ...

What Is an Algorithm? An algorithm is a set of instructions for solving a problem or accomplishing a task. One common example of an algorithm is a recipe, which consists of specific instructions ...

Because people train algorithms on their decisions – for example, algorithms that make recommendations on e-commerce and social media sites – algorithms learn and codify human biases.

For example, algorithms facilitate expedited credit assessments, allowing consumers to be approved for a loan in a matter of minutes.

Algorithms Are Great and All, But They Can Also Ruin Lives A single human showing explicit bias can only ever affect a finite number of people.

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

So are humans and algorithms mutually exclusive then? Not necessarily! Consider that for many of us, the most familiar example of a machine-learning algorithm is probably the Facebook news feed.

A new MIT study finds that algorithmic improvements are more beneficial than powerful hardware in AI, at least at a certain point.

People are better able to see and correct biases in algorithms’ decisions than in their own decisions, even when algorithms are trained on their decisions.

Alex Rosenblat, who reported extensively on Uber for her book, “Uberland: How Algorithms Are Rewriting the Rules of Work,” joins THINK to explain what happens when we turn algorithms into ...