Artificial Intelligence, Text Generation Tools and ChatGPT -- Does Digital Watermarking Offer a Solution?

Autor/in	Lancaster, Thomas
Titel	Artificial Intelligence, Text Generation Tools and ChatGPT -- Does Digital Watermarking Offer a Solution?
Quelle	In: International Journal for Educational Integrity, 19 (2023), Artikel 10 (14 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Lancaster, Thomas)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
DOI	10.1007/s40979-023-00131-6
Schlagwörter	Artificial Intelligence; Natural Language Processing; Integrity; Educational Technology; Technology Uses in Education; Computer Mediated Communication; Prompting + Suchen Sie Ihr Suchwort? Künstliche Intelligenz; Natürliche Sprache; Integrität; Unterrichtsmedien; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Computerkonferenz; Benutzerführung
Abstract	Text generation tools, often presented as a form of generative artificial intelligence, have the potential to pose a threat to the integrity of the educational system. They can be misused to afford students marks and qualifications that they do not deserve. The emergence of recent tools, such as ChatGPT, appear to have left the educational community unprepared, despite the fact that the computer science community has been working to develop and improve such tools for years. This paper provides an introduction to text generation tools intended for a non-specialist audience, discussing the types of assessments that students can outsource, showing the type of prompts that can be used to generate text, and illustrating one possible watermarking technique that may allow generated text to be detected. A small-scale study into watermarking suggests that this technique is feasible and show technical promise but should not be relied on as a solution to widespread use of artificial intelligence based tools by students. Alternative solutions are needed, including encouraging the educational community to work with artificial intelligence rather than against it. As such, the paper concludes by discussing seven potential areas for further exploration. (As Provided).
Anmerkungen	BioMed Central, Ltd. Available from: Springer Nature. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: customerservice@springernature.com; Web site: https://www.springer.com/gp/biomedical-sciences
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01