You might be familiar with the terms "seggs" and "unalive" if you've spent time on social media platforms. They're a part of ...

Algorithms are a staple of modern life. People rely on algorithmic recommendations to wade through deep catalogs and find the best movies, routes, information, products, people and investments.

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.

This example uses the GPLOT procedure and the OUTLIMITS= data set FAILLIM2 from the previous example to plot an OC curve for the p chart shown in Output 38.4.3.. The OC curve displays (the probability ...

In response, AI researchers have sought to produce algorithms that avoid, or at least minimise, unfairness, for example, by equalising false positive rates across racial groups.