Under the hood: Suicide prevention tools powered by AI

This post details the application of AI and machine learning for suicide prevention on Facebook. It describes the evolution from keyword-based detection to a machine learning approach using n-gram-based linear regression and later DeepText-based neural networks. The system incorporates contextual signals from comments and time of day, and uses FBLearner for training classifiers. It also discusses multilingual classification strategies and emphasizes the continued role of human review.