Supervised learning starts with training data that are tagged with the correct answers (target values). After the learning process, you wind up with a model with a tuned set of weights, which can ...

3. Subpopulation analysis. To perform subpopulation analysis in ML bias detection, the training data set is typically divided into different subgroups depending on the algorithm's specification.

This means modifying or adding extraneous information to a training data set so that an algorithm learns harmful or undesirable behaviours.

To try and overcome this, Manzano and colleagues set out to see if artificial intelligence—and more specifically machine learning, a subset of the approach in which an algorithm determines ...

To try and overcome this Manzano and colleagues set out to see if artificial intelligence— and more specifically machine learning, a subset of the approach in which an algorithm determines ...