NotesFAQContact Us
Collection
Advanced
Search Tips
Back to results
Peer reviewed Peer reviewed
PDF on ERIC Download full text
ERIC Number: EJ1471463
Record Type: Journal
Publication Date: 2025
Pages: 9
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-1545-679X
Available Date: 0000-00-00
Countering the "Plagiarism Slot Machine": Protecting Creators and Businesses from AI Copyright Infringement
Christine Ladwig; Dana Schwieger; Reshmi Mitra
Information Systems Education Journal, v23 n5 p53-61 2025
The rapid rise of AI use is creating some very serious legal and ethical issues such as bias, discrimination, inequity, privacy violations, and--as creators everywhere fear--theft of protected intellectual property. Because AI platforms "learn" by scraping training materials available online or what is provided to them through their human programmers, these systems can easily capture copyrighted expressions, such as song lyrics, computer code, stories, or images, and use them to generate new works without attribution. This rise in AI use of protected material is spawning an array of legal actions as artists, programmers, writers, photographers and other creative individuals witness the erosion of their value in the marketplace and the world. As students prepare to enter the field, they need to be aware of legal issues and concerns that they may face and methods for addressing them. This case focuses on the problem of AI copyright infringement of art and includes an exploratory exercise that introduces students to the act of "scraping"--a primary AI training method by which copyrighted works may be vulnerable to potential infringement.
Information Systems and Computing Academic Professionals. Box 488, Wrightsville Beach, NC 28480. e-mail: publisher@isedj.org; Web site: http://isedj.org
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A