Date/Time
This training is not sponsored by the Anne Arundel County Mental Health Agency.
3 CEs
Artificial intelligence (AI) is rapidly transforming health and human services, including social work. This course examines the opportunities and challenges of AI in social work practice, research, and policy. Students will explore how AI can be applied in clinical settings, including its potential role as a therapeutic tool, while critically analyzing ethical concerns, bias, data privacy, and security.
The course introduces large language models (LLMs)—the technology behind tools like ChatGPT—that can generate text, analyze data, and simulate conversation, and considers their implications for clinical, organizational, and policy settings. Emphasis is placed on both the risks and the promise of AI for improving outcomes for clients, communities, and systems.
Objectives:
Identify key concepts in artificial intelligence and machine learning relevant to social work practice, research, and policy.
Evaluate the benefits and risks of AI tools used in clinical, administrative, and policy settings, including issues of bias, privacy, and accountability.
Analyze case examples of AI use in social work, including predictive analytics, chatbots, and decision support tools.
Location: Virtual
Sponsored By: University of Maryland School of Social Work
Cost: $70.00-$90.00
For questions, email the University of Maryland School of Social Work at cpe@ssw.umaryland.edu