Machine Learning in Human Rights: Case Studies and Considerations

This lecture explores the application of machine learning in human rights investigations, focusing on case studies such as the identification of destroyed villages in Darfur using satellite imagery. The instructor discusses the challenges, ethical considerations, and potential of using machine learning in human rights work, emphasizing the importance of transparency, trust, and collaboration with experts and organizations. Various aspects, including data availability, privacy, security, and consent, are addressed in the context of implementing machine learning solutions. The lecture also delves into the iterative process of problem-solving, defining goals for success, and establishing a human-centric approach in utilizing machine learning technologies.