Foundations of Artificial Intelligence in Mental Health Practice
A 2-hour intermediate CE course providing licensed mental health professionals with foundational, vendor-neutral literacy in artificial intelligence as it applies to clinical practice. Covers core technical concepts, the landscape of behavioral-health AI tools, the evidence gap between marketing and peer-reviewed science, and the clinician's responsible-adoption role under HIPAA, professional ethics, and FDA oversight. 12,684 words.
2
CE Hours
What you'll learn
- Define artificial intelligence, machine learning, deep learning, natural language processing, and large language models, and differentiate supervised from unsupervised learning.
- Describe the major categories of artificial-intelligence tools currently marketed in behavioral health, including documentation scribes, conversational agents, predictive analytics, and clinical decision support.
- Differentiate peer-reviewed evidence of clinical benefit from unsubstantiated marketing claims when evaluating an artificial-intelligence product.
- Identify the principal limitations and failure modes of clinical artificial-intelligence systems, including hallucination, algorithmic bias, automation bias, and the black-box problem.
- Apply a human-in-the-loop, ethics-grounded framework to decisions about whether and how to adopt an artificial-intelligence tool in clinical practice.
Who it's for
Licensed mental health professionals (LPCs, LCSWs, LMFTs, NCCs, psychologists, and psychiatric NPs) seeking foundational literacy in artificial intelligence as it applies to clinical practice.
Approval & credit
CounselorReady is an NBCC-Approved Continuing Education Provider (ACEP #7760). This course awards 2 NBCC-approved CE hours; a certificate is issued on completion. Programs that do not qualify for NBCC credit are clearly identified. CounselorReady is solely responsible for all aspects of the program.