ACSW:Artificial Intelligence in Behavioral and Mental Health Care
About Course
- This course explores the integration of Artificial Intelligence (AI) technologies in behavioral and mental health care systems.
- Students will examine how AI-driven tools—such as chatbots, predictive analytics, and machine learning models—are transforming diagnosis, treatment planning, and patient monitoring in mental health services.
- Emphasis is placed on ethical considerations, data privacy, and the implications of automation in therapeutic and clinical practices.
- The course equips learners with foundational AI concepts and their practical applications in psychology, counseling, psychiatry, and social services.
Course Content
Topic 1: Introduction to AI in Mental Health Care
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Introduction to AI in Mental Health Care
03:02 -
LO1: Define the fundamentals of Artificial Intelligence in Mental Health Care
12:37 -
LO2: Describe the applications of Artificial Intelligence in Behavioral Health Services
12:29 -
LO3: Explain the role of Artificial Intelligence in Mental Health Assessment and Treatment
08:44
Topic 2: AI-Powered Diagnostic Tools and Assessment Systems
Topic 3: Virtual Therapists and AI Chatbots in Counseling
Topic 4: Predictive Analytics for Suicide Prevention and Crisis Intervention
Assessment I
Topic 5: Natural Language Processing (NLP) in Mental Health Screening
Topic 6: Ethical and Legal Considerations in AI Mental Health Applications
Topic 7: AI for Monitoring Patient Progress and Compliance
Topic 8: Personalized Mental Health Treatment Plans Using Machine Learning
Assessment II
Topic 9: Data Privacy, Security, and Bias in Mental Health AI Systems
Topic 10: Final Exam Review
Final Exam
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