3023-25: An Interprofessional Approach to the Ethics of Artificial Intelligence in Psychiatric Nursing
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3023-25: An Interprofessional Approach to the Ethics of Artificial Intelligence in Psychiatric Nursing
This interprofessional panel discussion will use an ethical framework to define, illustrate, and analyze the salient issues that arise with the use of artificial intelligence (AI) in clinical settings. Particular emphasis will be placed on care of persons with mental health concerns. Participants will discuss concepts using case studies.
Presenters: Mary L. Serowoky, DNP, FNP-BC; Phillip Olla, PhD; Andrea Kwasky, DNP, PMHNP-BC, PMHCNS-BC
Disclosures: The APNA planners and faculty have no relevant financial relationships to disclose. Off-label uses will not be discussed during this presentation.
Session Length: 45 minutes
Target Audience: RN, APRN
Learning Outcome:
Upon completion of this presentation, the participant will be able to:
- Discuss ethical issues when using artificial intelligence in the clinical environment.
Key Takeaway(s):
- All levels require human guardrails, intervention, and editing.
- Transparency in informing clients that AI may be running in the background is paramount.
Keywords: Artificial Intelligence, AI, Ethical Analysis of Artificial Intelligence in Clinical Practice, AI Use in Psychiatric and Mental Health Care
Nursing Continuing Professional Development:
0.75 contact hours. * In order to receive contact hours, you must: Listen to the entire presentation, complete the reflection activity, evaluation, and honor statement before the expiration date. Once all steps are successfully completed, a certificate will be generated online and available for you to print immediately. Contact hours cannot be awarded unless all required components are completed.
The American Psychiatric Nurses Association is accredited as a provider of nursing continuing professional development by the American Nurses Credentialing Center’s Commission on Accreditation.
Release Date: January 13, 2026
Access to this course will end: December 1, 2028
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