After reading and discussing this technical note, students should be able to do the following: - Explain why quantitative analysis is not necessarily objective or value neutral and identify the ethical choices embedded in analytical decision-making. - Evaluate how the selection of goals, measures, and proxy variables can shape model results and create unintended consequences. - Identify ethical concerns related to data selection, including privacy, informed consent, representativeness, and the use of variables correlated with protected characteristics. - Assess trade-offs involved in model selection and deployment, including accuracy, explainability, uncertainty, human oversight, and revisability. - Analyze how quantitative models distribute benefits and harms across individuals and groups and compare alternative approaches to algorithmic fairness. - Apply ethical reasoning to decisions about the design, implementation, monitoring, and revision of quantitative models.