Ethical application of data science and machine learning algorithms. Application of ethical theories in real-world case studies. Data ownership, collection, and validity. Algorithm auditing, fairness and transparency. Reducing unfairness in algorithms. Deployment of predictive models and dissemination of results. [3-0-0] Prerequisite: One of CPSC 330, CPSC 340, STAT 301, STAT 406.
Ethical application of data science and machine learning algorithms. Application of ethical theories in real-world case studies. Data ownership, collection, and validity. Algorithm auditing, fairness and transparency. Reducing unfairness in algorithms. Deployment of predictive models and dissemination of results. [3-0-0] Prerequisite: One of CPSC 330, CPSC 340, STAT 301, STAT 406.
