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Home/Home Study/Cybersecurity, Privacy, and Informed Consent in Generative Artificial Intelligence Mental Health Tools

Cybersecurity, Privacy, and Informed Consent in Generative Artificial Intelligence Mental Health Tools

This course synthesizes contemporary evidence on cybersecurity, privacy, and ethical risks associated with generative AI mental health chatbots.

3 CE hours · FRANKLIN CARVAJAL

About this course

This course synthesizes contemporary evidence on cybersecurity, privacy, and ethical risks associated with generative AI mental health chatbots. It explores the crisis in informed consent, highlighting the clinical implications, ethical considerations, and practical guidelines for licensed psychologists and graduate-level clinicians. The material covers risk assessment, psychological impacts, governance challenges, and offers practice recommendations and case scenarios to help clinicians responsibly integrate AI tools into mental health services.

Who this course is for

Psychologists Graduate-level Clinicians Mental Health Professionals

Program objectives

  • Describe the multi-layered risk landscape of generative AI mental health tools at model, interface, data, and infrastructure levels
  • Identify at least 3 ethical considerations related to competence, informed consent, confidentiality, and cultural responsiveness in AI mental health practice
  • Explain 4 psychological pathways by which AI mental health chatbot use influences vulnerable users
  • Apply 5 well-supported clinical practice recommendations for integrating and managing AI tools in mental health care
  • Analyze the gaps in governance frameworks and propose strategies for clinician engagement in AI governance and regulatory advocacy

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