Taking Ownership of Gen AI Use: Connecting AI and Ethics for Undergraduate Students

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Journal of Technology-Integrated Lessons and Teaching Cover. Volume 6, Issue 1, 2026.
Lesson PDF Lesson DOCX Assignment Information Ethics AI Session
Published: Jun 19, 2026
DOI: https://doi.org/10.13001/jtilt.v5i1.10311
Keywords:
Artificial Intelligence, Information Ethics

Main Article Content

Jasmine Thomas
Towson University
https://orcid.org/0009-0002-9457-2554
Ernest Anderson
Towson University
https://orcid.org/0009-0009-4746-0542
Elisabeth B. White
Towson University
https://orcid.org/0000-0002-0441-3203

Abstract

This unit consists of two lessons and a corresponding assignment designed to help undergraduate students in an information literacy elective course to reflect on what ethical use of generative artificial intelligence (Gen AI) means to them. Students participate in lectures and discussions about information ethics and Gen AI over the course of two weeks. Then, they complete a Personal AI Framework Assignment in which they reflect on their ethical beliefs, how AI is affecting their daily lives, and what they consider to be acceptable and unacceptable uses of AI in academic and professional contexts.

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How to Cite
Thomas, J., Anderson, E., & White, E. (2026). Taking Ownership of Gen AI Use: Connecting AI and Ethics for Undergraduate Students. Journal of Technology-Integrated Lessons and Teaching, 5(1), 56–63. https://doi.org/10.13001/jtilt.v5i1.10311
Issue
Vol. 5 No. 1 (2026): Journal of Technology-Integrated Lessons and Teaching
Section
Article
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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Author Biographies

Jasmine Thomas, Towson University

Jasmine Thomas is a Research & Instruction Librarian at Towson University’s Albert S. Cook Library. She holds a Master of Library and Information Science from the University of Maryland, College Park and a Bachelor of Science in History from Towson. Jasmine serves as the liaison to the English department, providing course integrated information literacy instruction and supporting students and faculty research. She is also an instructor for the library’s credit bearing course LIBR 300: The Information Experience. Her research interests include citation justice and Black feminist librarianship. She can be reached at jlthomas@towson.edu.

Ernest Anderson, Towson University

Ernest Anderson is a Research & Instruction librarian at the Albert S. Cook Library at Towson University. For the past year, he has served as a liaison to departments within Towson's Fisher College of Science & Mathematics. Previously, he worked as a Research & Instruction Librarian for STEM at East Texas A&M University’s Velma K. Waters Library. He holds a Master of Library Science from Texas Woman’s University in Denton, TX and a Bachelor of Science in Theatre from East Texas A&M University in Commerce, TX. Ernest’s research interests include AI literacy education and algorithmic bias. He can be reached at ernestanderson@towson.edu.

Elisabeth B. White, Towson University

Elisabeth B. White is the Head of Library Teaching and Science, Technology, and Mathematics Librarian at the Albert S. Cook Library at Towson University. She has worked at Towson for 7 years. Elisabeth holds a Master of Library and Information Science from St. Catherine University in St. Paul, MN and a Bachelor of Science in Biological Chemistry from Bates College in Lewiston, ME. Elisabeth’s research interests include inclusive pedagogy, digital accessibility, and STEM librarianship. She can be reached at ebwhite@towson.edu.