Use of Artificial Intelligence:
Ethical & Legal Issues
Timothy Odom
BUSN311 B002 Winter 2026
American Public University
Professor Wynne
January 18, 2026
Introduction/Overview
Use Of AI In Universities And Work Settings:
-Universities:
-Collegiate administration efficiency
-Faculty course content creation
-Personalized student learning
-Student support
(“Ai in Schools: Pros and Cons.”)
-Work Settings:
-Automation to increase productivity
-Content and marketing creation
-Data analysis
-Customer service
-Human resources and recruitment
-Career services
(Grubb)
Rules Of The University
AI Deemed As Cheating:
-Generating content
-Purchasing & sharing test solutions
-Wrongful reuse
-Collaborating on exams or assignments
-Doing work for another person
(APUS)
AI Deemed As Plagiarism:
-Another’s ideas without attribution
-Writings of another
-Weak paraphrasing
-Same sentence structure and change a
few words
(APUS)
Professional Writing
-Establish authority
-Build trust with one’s audience
-Ensure accurate information is being passed
along
-Avoid plagiarism
-Give credit to original sources
Legal & Ethical Analysis
Ways We Can Safely Use AI:
-Grammar Checks & Editing
-Improving Clarity / Flow Of Writing
-Brainstorming / Idea Generation
-Data Analysis
-Explore Different Perspectives
(Russo)
Conclusion & Recommendations
-Not worth the risk legally or ethically
-Cheating themselves of critically analyzing and
creating
-Infringement on fundamental human rights
and privacy
-”Deepfakes” (“Should AI Be Regulated? The
Arguments for and Against.”)
References