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Margaret Meagher

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Chief Impact Officer Crisis Text Line

Margaret is Chief Impact Officer at Crisis Text Line, leading data science efforts to analyze millions of mental health conversations. With 20+ years of experience in large-scale social impact across languages and cultures, she leverages AI/ML/NLP to generate insights and measure the effectiveness and international impact of Crisis Text Line's services and model. Margaret has a strong background in AI for social good, mixed methods research, and impact assessment, with expertise in leading complex programs and building collective impact networks worldwide. She holds an MA in International Development and numerous specialized trainings. Before joining Crisis Text Line, Margaret led high-impact programs at organizations like Mastercard Foundation and Care International, working with governments and institutions such as UNGEI, UNESCO, FAWE, African Leadership Academy, and the Brookings Institution.

Bio from: Data + AI Summit 2025

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Amplifying Human-to-Human Connection in the Face of Mental Health Crisis Using AI

Crisis Text Line has been innovating for ten years in text-based mental health crisis intervention and is now leading the next wave of GenAI use cases in the space. With over 300 million messages exchanged since 2013 and a decade of expertise, Crisis Text Line is unlocking the potential of AI to amplify human connection at a global scale.We will discuss how we leveraged our bedrock application to co-navigate crisis care through a set of early AI agent workflows. First, a simulator that reproduces texter behavior to train responders in taking conversations ranging in difficulty where the texter is in imminent risk of suicide or self-harm. Second, a tool that automatically monitors clinical quality of conversations. Third, predicted summarization to capture key context before conversations are transferred. Through the power of suggestion, this compound system aims to reduce burden and drive efficiency, such that our responders can focus on what they do best — support people in need.