Designing and Assessing AI-Enabled Programs in the Helping Professions

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Authors: Jenifer Norton
Cited by: 0
References: 39

Abstract

This chapter examines artificial intelligence integration at the program level in social work, counseling, and psychology education, arguing that ethical and effective adoption requires more than isolated course-level experimentation. Drawing on the author's experience as a program director and learning designer, it positions AI as educational infrastructure that can support assessment planning, accreditation alignment, and sustainable course development when governed by professional values and human judgment. The chapter explores AI-supported curriculum and rubric alignment, online learning design workflows, and collaboration with subject matter experts, while addressing ethical tensions related to transparency, equity, faculty workload, and the limits of automation. It offers a leadership-oriented framework for responsible, program-level AI governance in the helping professions.

Fields of Study & Subjects

Artificial Intelligence in Education Artificial Intelligence in Healthcare and Education Ethics and Social Impacts of AI

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Pages
197–226
Publication date
5 February 2026
Document type
Book chapter