Algorithmic Bias in Psychological Science: Causes, Consequences, and Potential Solutions

Machine learning methods are increasingly applied across psychological science. While these methods hold immense promise for prediction and pattern detection, algorithms reflect the nature of their training data, and can perpetuate societal injustices. This symposium examines the causes and consequences of algorithmic bias across clinical, social, cognitive, and developmental psychology.