(Separate Fee Required) RMW-1: Using AI for Social Work Research

This four-hour workshop will explore the transformative role of Artificial Intelligence (AI) in advancing social work research. As AI is increasingly leveraged to collect, analyze, and interpret complex data, it offers deeper insights into social issues and enhances the precision of research outcomes. Participants will gain foundational knowledge of AI trends, including machine learning, natural language processing, and predictive analytics, learning how to integrate these tools into their own research to improve efficiency and innovation.

The workshop will highlight groundbreaking, federally-funded research projects that demonstrate how AI tools are being utilized by social work researchers working in interdisciplinary teams. These case studies will showcase the real-world impacts of AI and illustrate how collaborations with experts in engineering and other fields are driving innovation and breaking new ground in social work research. Participants will be encouraged to critically assess how these interdisciplinary approaches can enhance their own research practices and explore opportunities for securing external funding through AI-driven initiatives.

Additionally, the session will engage participants in important discussions on the ethical use of AI, covering issues like data governance, privacy, and bias. Attendees will leave with practical strategies for applying AI responsibly and ethically in their research, ensuring that technological advances are used to drive social progress without compromising ethical standards.

This workshop is suitable for researchers at all levels, although a basic understanding of research methodology will be beneficial. By the end of the session, participants will have a clear understanding of both the opportunities and challenges posed by AI in social work research and will be equipped with actionable strategies to enhance their research practices and impact.