Content area

Abstract

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.

Details

1007399
Title
Countering the "Plagiarism Slot Machine": Protecting Creators and Businesses from AI Copyright Infringement
Volume
23
Issue
5
Pages
53-61
Publication date
2025
Printer/Publisher
Information Systems and Computing Academic Professionals
Box 488, Wrightsville Beach, NC 28480
http://isedj.org
Publisher e-mail
Source type
Scholarly Journal
Peer reviewed
Yes
Summary language
English
Language of publication
English
Document type
Report, Article
Subfile
ERIC, Current Index to Journals in Education (CIJE)
Accession number
EJ1471463
ProQuest document ID
3227887866
Document URL
https://www.proquest.com/scholarly-journals/countering-plagiarism-slot-machine-protecting/docview/3227887866/se-2?accountid=208611
Last updated
2025-07-08
Database
Education Research Index