A health care algorithm makes black patients substantially less likely than their white counterparts to receive important medical treatment. The major flaw affects millions of patients, and was ...

For example, in November another team at MIT (with many of the same researchers) published a study demonstrating how Google’s InceptionV3 image classifier could be duped into thinking that a 3-D ...

I love both of these examples, because I love the idea that we can take our own democratic action to make the world a bit less complicated. Alas, it is not that simple.

A study published Thursday in Science has found that a health care risk-prediction algorithm, a major example of tools used on more than 200 million people in the U.S., demonstrated racial bias ...

Last month, Twitter users uncovered a disturbing example of bias on the platform: An image-detection algorithm designed to optimize photo previews was cropping out Black faces in favor of white ones.

You might be familiar with the terms "seggs" and "unalive" if you've spent time on social media platforms, like TikTok and ...

For example, when the technology publication Rest of World analyzed popular AI image generators in 2023, it found that these programs tended toward ethnic and national stereotypes.

Such algorithms are also useful in helping leaders make decisions involving trade-offs. They can present non-obvious choices and opportunities. Other machine learning algorithms examples would ...

Examples of How Bias Can Impact AI Here’s one high-profile example of what bias can do to an algorithm. In March 2016, Microsoft released “Tay”, which was an AI powered “social chatbot.” ...

The linguist and author of “Algospeak” traces how content moderation is breeding a whole new way of speaking — and what it means for the future of language.