Since AI systems learn from data, and that data often carries the same biases and inequalities we see in real life.

Model / A mathematical representation of a task, created by applying a machine learning algorithm to a training data set. For example, a large language model like GPT-3.5 (which powered the original ...

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

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Methods: We identified all prescription opioid–related deaths from Ontario coroners’ data that occurred between Jan. 31, 2003, and Dec. 31, 2010. We then used 5 different algorithms to identify ...

The Microsoft Tay example above illustrates how quickly a set of inputs (data) can change how an algorithm performs. There are three types of data bias: ...

This example estimates the normal SSM of the mink-muskrat data using the EM algorithm. The mink-muskrat series are detrended. Refer to Harvey (1989) for details of this data set. Since this EM ...

This example uses PROC PRINQUAL to perform a nonmetric multidimensional preference (MDPREF) analysis (Carroll 1972). MDPREF analysis is a principal component analysis of a data matrix with columns ...