Document Type

Presentation

Publication Date

8-2026

Keywords

Artificial Intelligence, AI in Education, Generative AI, Responsible AI, AI Ethics, Academic Integrity, AI-Assisted Learning, Higher Education, Data Privacy, Algorithmic Bias

Disciplines

Business | Education

Abstract

This presentation examines the ethical use of artificial intelligence in education and the opportunities and challenges associated with AI-driven learning. It explores the growing adoption of artificial intelligence, concerns surrounding excessive reliance on generative AI, and issues including privacy, algorithmic bias, misuse of AI, job displacement, transparency, plagiarism, intellectual property, equitable access, and academic integrity. The presentation also considers how AI may affect critical thinking, learning processes, assessment, and student career readiness while highlighting research on the potential of AI to support personalized learning and education. Through case examples, research findings, discussion, and a hands-on group activity comparing work completed with and without AI and Internet resources, participants are encouraged to critically evaluate the benefits and limitations of AI-assisted learning and consider approaches for using AI responsibly and effectively in academic environments.

Comments

Free and open access to this work is made available to the UMass Boston community by ScholarWorks at UMass Boston. Those not on campus and those without a UMass Boston campus username and password may gain access to this work through Interlibrary Loan. If you have a UMass Boston campus username and password and would like to download this work from off-campus, click on the “Off-Campus Users” button.

Community Engaged/Serving

Part of the UMass Boston Community-Engaged Teaching, Research, and Service Series. //scholarworks.umb.edu/engage

Rights

© 2026 Moumita Saha

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