Artificial Intelligence (AI) in Social Work
These projects explore how applied artificial intelligence (AI) and machine learning can ethically advance child and family wellbeing research. Topics include the use of machine learning methods in child- and family-centered datasets, the ethical implications of AI in social work, and the design of AI-informed multisystem interventions. AI offers promising tools for family interventions but also calls for prevention of harm and negative impact. Studies and publications in this area include:
- Lee, J. Y., Cha, H., Xu, A., & Chang, Y. (2025, July). Artificial intelligence in applied family research involving families with young children: A scoping review. International Population Conference, Brisbane, Australia.
- Lee, J. Y. (2025, January). Applying artificial intelligence in collaborative research to solve Grand Challenges for Social Work. Society for Social Work and Research, Seattle, WA.
- Lee, J. Y., Ahn, E., Xu, A., Yang, Y., Chang, Y., Cha, H., & Ammari, T. (2024). Artificial intelligence in applied family research involving families with young children: A scoping review. Family Relations. (*1.700). https://doi.org/10.1111/fare.13090
- Lee, J.Y., Pace, G. T., Park, K., Cha, H., Chang, Y., & Xu, A. (under review). Most Important Predictors of Father-Child Contact in the U.S. Child Welfare System: A Machine Learning Approach.
