Disparate impact: Difference between revisions

Created page with "{{see also|Machine learning terms}} ==Disparate Impact in Machine Learning== Disparate impact in machine learning refers to the unintended and potentially discriminatory consequences of an algorithmic decision-making process, where certain groups or individuals may be adversely affected due to biases in the data or model. This phenomenon raises significant ethical, legal, and social concerns, as it may perpetuate or exacerbate existing inequalities. ===Causes of Dispara..."