Machine Learning in Human Rights Documentation

This lecture explores the application of machine learning in human rights documentation, focusing on the challenges and benefits it brings. The instructor discusses how machine learning can save time, improve consistency, and discover connections in data. Various aspects of setting up a machine learning project are covered, including problem definition, data availability, and transparency. The lecture also delves into user-centered design, user research methods, and the intersection of user needs with machine learning strengths. Case studies are presented to illustrate how machine learning can enhance the efficiency and accuracy of tasks in human rights documentation.