Assisting Breastfeeding and Maternity Experts in Responding to User Queries with an AI-in-the-loop Approach
Authors: Nadjet Bouayad-Agha, Ignasi Gomez-Sebastia, Alba Padro, Enric Pallares Roura, David Pelayo Castelló, Rocío Tovar
Abstract
Breastfeeding and Maternity experts are a scarce resource and engaging in a conversation with mothers on such a sensitive topic is a time-consuming effort. We present our journey and rationale in assisting experts to answer queries about Breastfeeding and Maternity topics from users, mainly mothers. We started by developing a RAG approach to response generation where the generated response is made available to the expert who has the option to draft an answer using the generated text or to answer from scratch. This was the start of an ongoing effort to develop a pipeline of AI/NLP-based functionalities to help experts understand user queries and craft their responses.