AI Ethics for Clinicians: Responsible Practice in Behavioral Health
AI Ethics for Clinicians: Responsible Practice in Behavioral Health
Information
Recorded
-
-
Learning Objectives
Participants will be able to:
-
Identify at least three current applications of artificial intelligence (AI) in behavioral health and describe their potential benefits and risks.
-
Analyze two case studies involving AI to determine ethical issues such as algorithmic bias, confidentiality, informed consent, and practitioner accountability.
-
Apply the clinician Code of Ethics and relevant technology standards to create a framework for evaluating the ethical use of AI in clinical decision-making.
-
Demonstrate how to communicate AI-related risks and benefits to clients in clear, ethical, and culturally sensitive language.
Educational Goal
Description
This interactive CE workshop introduces clinicians to the ethical dilemmas posed by artificial intelligence in behavioral health practice. Participants examine case studies on predictive analytics, therapeutic chatbots, and mental health apps, while analyzing issues of bias, informed consent, privacy, and professional judgment. Drawing from the NASW Code of Ethics and recent AI frameworks, clinicians will develop strategies to evaluate and ethically integrate AI tools into practice, ensuring client safety and equity in decision-making.
Target Audience
- Addiction Professional
- Counselor
- Marriage & Family Therapist
- Psychologist
- Social Worker
Presenters
Financially Sponsored By
- TPN.health