Generative AI has changed the landscape of possibilities of what can be done with text as a source of data. Crisis Text Line has a large dataset of anonymized text data and use cases that revolve mostly around conversations between people in crisis and crisis responders. While we will never replace human to human interaction for crisis intervention, there are plenty of opportunities to build intelligence with AI/ML models that our crisis responders could greatly benefit from. In this talk we will introduce our conversation simulator, a tool that we built leveraging openAI's API that allows us to train crisis responders on how to support people in crisis with close to real life situations and can help reduce anxiety for new crisis responders as they log on the platform for the first time.
Maddie is a product leader and technologist with over 20 years of experience envisioning, building and launching enterprise software products. Passionate about innovative, impactful solutions and delivering first class customer experiences. She has built data and healthcare platforms from ground up at Salesforce, Databricks, Ancestry and other organizations. At Crisis Text Line, Maddie is responsible for building the Global Product for crisis care intervention and its adoption globally in different countries and languages.
Mateo is Lead Data Scientist at CTL, where he oversees all the Analytics & Data Science efforts. He is a data leader with +7 industry experience scaling data teams from the ground up and building data products at different start-ups and consulting firms. Mateo holds a PhD in theoretical particle physics and cosmology and has worked as a researcher at the Autonomous University of Barcelona (UAB), the European Centre for Nuclear Research (CERN) and the International Centre for Theoretical Physics (ICTP).