Insight AI Risk Detection Model - Vulnerable People Emotional Situation Support
This study presents an AI-based model for real-time emotional support and risk assessment, addressing the rise in mental health issues among youth. The model leverages Insight AI (Sentiment and Emotional Analysis) to analyze synthetic utterance interactions. To design the initial version of the model, the Fundació Ajuda I Esperança customer experience has been considered: the analyzed service concerns the initial customer service (phase one) where particular focus has been paid to vulnerable youth from 14 to 25 years old. In particular, the emotional support chat that has managed - at the time of writing - more than 2,500 chat interactions, dealing with mental health problems such as depression or anxiety, relationship. The designed model demonstrates the potential capability to discern risk levels effectively. The findings emphasize ethical AI use in mental health services, promoting responsible deployment.
Wed 19 JunDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
11:00 - 12:20 | Human AspectsShort Papers, Vision and Emerging Results / Research Papers / Industry at Room Capri Chair(s): Guilherme Horta Travassos Federal University of Rio de Janeiro | ||
11:00 15mTalk | Trustworthy AI in practice: an analysis of practitioners' needs and challenges Research Papers Maria Teresa Baldassarre Department of Computer Science, University of Bari , Domenico Gigante SER&Practices and University of Bari, Azzurra Ragone University of Bari, Sara Tibidò Scuola IMT Alti Studi Lucca, Marcos Kalinowski Pontifical Catholic University of Rio de Janeiro (PUC-Rio) | ||
11:15 15mTalk | "Looks Good To Me ;-)": Assessing Sentiment Analysis Tools for Pull Request Discussions Research Papers Daniel Coutinho Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Luísa Cito Pontifical Catholic University of Rio de Janeiro, Maria Vitória Lima Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Beatriz Arantes Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Juliana Alves Pereira PUC-Rio, Johny Arriel PUC-Rio, João Godinho Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Vinícius Martins PUC-Rio, Paulo Vítor C. F. Libório Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Leonardo Leite Federal University of Alagoas (UFAL), Alessandro Garcia Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Wesley Assunção North Carolina State University, Igor Steinmacher Northern Arizona University, Augusto Baffa PUC-Rio, Baldoino Fonseca Federal University of Alagoas | ||
11:30 15mTalk | Motivation Research Using Labeling Functions Research Papers DOI Pre-print | ||
11:45 15mTalk | Insight AI Risk Detection Model - Vulnerable People Emotional Situation Support Industry Diego Gosmar Open Voice Trustmark Ethical use task force Linux Foundation AI & DATA, Elena Peretto Fundaci— Ajuda i Esperanچa, Oita Coleman Open Voice Trustmark Ethical use task force Linux Foundation AI & DATA | ||
12:00 10mTalk | On the Use of ChatGPT for Code Review Short Papers, Vision and Emerging Results Miku Watanabe Nara College, National Institute of Technology/Nara Institute of Science and Technology, Yutaro Kashiwa Nara Institute of Science and Technology, Bin Lin Radboud University, Toshiki Hirao , Ken'Ichi Yamaguchi , Hajimu Iida Nara Institute of Science and Technology Pre-print | ||
12:10 10mTalk | What You Use is What You Get: Unforced Errors in Studying Cultural Aspects in Agile Software Development Short Papers, Vision and Emerging Results Michael Neumann University of Applied Sciences & Arts Hannover, Klaus Schmid University of Hildesheim, Lars Baumann DOI Pre-print | ||