Algorithmic bias
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Algorithmic bias describes systematic and repeatable harmful tendency in a computerized sociotechnical system to create "unfair" outcomes, such as "privileging" one category over another in ways that
A 1969 diagram for how a simple computer program makes decisions, illustrating a very simple algorithm
This card was used to load software into an old mainframe computer. Each byte (the letter 'A', for example) is entered by punching holes. Though contemporary computers are more complex, they reflect this human decision-making process in collecting and processing data.
Facial recognition software used in conjunction with surveillance cameras was found to display bias in recognizing Asian and black faces over white faces.
Fairness (machine learning)
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Fairness in machine learning refers to the various attempts to correct algorithmic bias in automated decision processes based on ML models. Decisions made by such models after a learning process may b
Confusion matrix
Relationship between fairness criteria as shown in Barocas et al.