This scoping review examines AI integration in social work education and practice, highlighting benefits like enhanced service delivery and challenges like algorithmic bias and digital literacy gaps. Ethical AI use, transparency, and targeted training are essential to uphold social work values. Future research should explore long-term impacts and accessibility solutions.
Learning Objectives:
At the end of this session, attendees should be able to:
Upon completion, the participant will be able to describe how AI is being integrated into social work education and practice, including its impact on service delivery and data management.
Upon completion, the participant will be able to analyze ethical concerns such as algorithmic bias, data privacy, and accessibility and propose strategies to align AI use with social work’s core values of equity, transparency, and client-centered care.
Upon completion, the participant will be able to recognize the digital literacy gap among social workers and identify training approaches to support responsible AI adoption in social work practice.
