How can one detect biases in machine learning and how can one prevent these biases?
Thursday, 07 March 2024
by Anny Caroline de Araújo Faria
Detecting biases in machine learning models is a crucial aspect of ensuring fair and ethical AI systems. Biases can arise from various stages of the machine learning pipeline, including data collection, preprocessing, feature selection, model training, and deployment. Detecting biases involves a combination of statistical analysis, domain knowledge, and critical thinking. In this response, we
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, Introduction, What is machine learning
Tagged under:
AI Ethics, Artificial Intelligence, Bias Detection, Data Preprocessing, Fairness In ML, Model Evaluation