Digital Discrimination: Cognitive Bias in Machine Learning

Machine learning algorithms can perpetuate and amplify human cognitive biases present in their training data, leading to unfair outcomes in critical decision-making areas such as criminal justice, employment, and credit scoring; addressing this requires diverse development teams, transparency in data and models, open-source tools for bias detection and mitigation, and external accountability mechanisms to ensure AI systems serve all populations fairly.