Ethics of Artificial Intelligence in Mental Health: Navigating Regulation, Privacy, and Bias

Fulfills requirement: Ethics

Disclosure: Some of the content in this course was generated through the use of AI. All content has been reviewed by a PhD level psychologist to assure accuracy in content and references. Some of the content in this course is also contained in the course Ethical Considerations in the Use of AI in Mental Health Care.

When incorporated into mental health practice, artificial intelligence (AI) technology must be used ethically with clinical oversight so that it enhances human judgment, does not replace genuine therapeutic relationships, and, most importantly, does no harm to clients, the public, or the profession. In a rapidly changing landscape, clinicians who utilize AI are obligated to remain up-to-date on the relevant guidelines from their professional organizations and monitor their state licensing board for updates on legal standards. However, current protections often fall short, and clinicians must be aware of the risks of bias, privacy violations, and accountability so that they can be equipped to mitigate these issues.

The first section of the course summarizes current guidelines and regulations for the use of AI in mental health. It describes how specific professional organizations have already weighed in on AI use. Next, the section shifts attention to laws and regulations that affect clinicians on a federal and state level. Finally, it reviews how AI in mental health is regulated on an international scale through the United Nations (UN) and the World Health Organization (WHO). Learning is reinforced through case examples and key takeaways.

The second section of the course examines the real-world challenges clinicians face when AI is introduced into mental health settings, even with these regulations in place. Topics include where current protections fall short, the risks of bias and privacy violations, and the uncertainty around who is accountable when things go wrong. The course concludes with promising solutions—such as updates to laws, new models of oversight, and professional practices—that are being developed to ensure AI supports, rather than undermines, the core values of mental health care. The emphasis throughout this section is on what these developments mean for practitioners and how they may affect clients and workplace institutions.

Content consists of original content from Julia DiFilippo, Ph.D. followed by a module from the book Artificial Intelligence for Mental Health Professionals by Brenda Hart, Ph.D., Antonio Diego Vasquez, A. Vincent Vasquez, MS, MBA that has been created with the assistance of AI and is presented with the permission of the authors. Coursework consists of articles available in audio and written formats.