Mathematics and Mental Health: An Interdisciplinary Analysis of AI in Counselor Education

Authors

Jennifer M. Hightower, University of South CarolinaFollow
Catrina A. May, University of North GeorgiaFollow

Author ORCID Identifier

https://orcid.org/0000-0002-8137-8966

Document Type

Article

Keywords

artificial intelligence, counselor education, machine learning, black box problem, ethics and AI

Subject Area

Counselor Education

Abstract

Although use of Artificial Intelligence (AI) in mental health care has become increasingly common, many professional counselors remain under informed about foundational components of AI. Fundamental issues associated with AI, including model bias and the Black Box Problem, must be considered as these tools become integrated into the counseling profession. This manuscript provides an interdisciplinary, theoretical analysis of AI use in counseling and counselor education grounded in foundational knowledge of AI and the American Counseling Association’s recommendations for the ethical integration of AI (Butler et al., 2023). The paper summarizes these recommendations, establishes accessible definitions of AI terms, explains the BBP and its implications within counseling, and offers strategies and considerations for effectively and ethically integrating AI into counselor preparation curricula.

Public Significance Statement

This interdisciplinary analysis of the use of artificial intelligence (AI) in counselor education provides an accessible review of foundational concepts in AI to support the integration of AI into counselor education curricula.

DOI

http://dx.doi.org/10.70013/je2eikdb

Recommended Citation

Hightower, J. M., May, C. A. (2025). Mathematics and Mental Health: An Interdisciplinary Analysis of AI in Counselor Education. Journal of Counselor Preparation and Supervision, 19(3), 1-16.