This presentation explored an engineering approach to identify and analyze language that reflects various aspects of well-being. By integrating computational linguistics with psychological perspectives, we examined how linguistic patterns can serve as indicators of individual and collective well-being. The study discussed implications for AI systems that aim to promote social and emotional health.
Presented at the AAAI 2024 Spring Symposium Series
(Impact of GenAI on Social and Individual Well-being, AAAI2024-GenAI)
Held on March 26, 2024, at Stanford University, Palo Alto, California, USA.
The talk discussed an engineering approach to identify language reflecting well-being,
bridging computational linguistics and psychology to advance AI applications for social good.