AIgiarism

English

Alternative forms

• aigiarism

Etymology

Blend of AI +‎ plagiarism.

Noun

AIgiarism (usually uncountable, plural AIgiarisms)

1. (artificial intelligence, informal, uncommon) Plagiarism committed by means of AI; AI-assisted plagiarism.
   • 2022 December 31, Alex Hern, “AI-assisted plagiarism? ChatGPT bot says it has an answer for that”, in The Guardian‎^[1], archived from the original on 2023-02-08:

     “I think the rules against AIgiarism should be roughly similar to those against plagiarism,” Graham said in December. “The problem with plagiarism is not just that you’re taking credit away from someone else but that you’re falsely claiming it for yourself. The latter is still true in AIgiarism. And in fact, the former is also somewhat true with current AI technology.”

   • 2023 August 26, Bor Luen Tang, “The underappreciated wrong of AIgiarism - bypass plagiarism that risks propagation of erroneous and bias content”, in EXCLI Journal, volume 22, →DOI, pages 907–910:

     However, AIgiarism is a form of bypass plagiarism. The wrong of AIgiarism is not so much of inappropriate credit allocation, but the potential propagation of factual and interpretive errors as well as biases, which undermines knowledge acquisition and understanding.

   • 2023 December, Sarah Elaine Eaton, editor, Handbook of Academic Integrity, Springer International Publishing, page 163:

     One concern deems text generated by such tools to be plagiarism. Some academics have posited that Al-generated text used by students is plagiarism, or Al-assisted plagiarism or aigiarism […]

   • 2024 January, Robert Ciesla, The Book of Chatbots: From ELIZA to ChatGPT, Springer Nature Switzerland, page 143:

     The main problem with aigiarism-detectors (and often AI in general) is poor context-awareness. As AI absorbs text from research papers, blogs, and other online sources, software like ZeroGPT may classify much of this material as “Al-generated” soon after a text reaches the internet and is indexed somewhere.

   • 2024 February 5, Mustafa Ali Khalaf, “Does attitude towards plagiarism predict aigiarism using ChatGPT?”, in AI and Ethics, →DOI:

     Frequencies and percentages showed that 27% and 57% of students had positive attitudes towards plagiarism and aigiarism, respectively. No significant gender differences in aigiarism were detected. Attitudes towards aigiarism did not differ according to academic major (human-scientific) or lower and higher GPA.