Artificial intelligence and academic integrity: The ethics of teaching and learning with algorithmic writing technologies

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dc.contributor.authorEaton, Sarah Elaine
dc.contributor.authorBrennan, Robert
dc.contributor.authorWiens, Jason
dc.contributor.authorMcDermott, Brenda
dc.date.accessioned2023-01-25T19:51:47Z
dc.date.available2023-01-25T19:51:47Z
dc.date.issued2023-01-25
dc.description.abstractThe higher education landscape is changing rapidly, with artificial intelligence tools being increasingly available to students, as well as the general public. In this session, we present basic information about artificial intelligence and algorithmic writing technologies such as GPT-3 and other tools. We will contemplate the broader impact of artificial intelligence on teaching, learning, assessment, and academic integrity. Debating whether the use of artificial might or might not constitute academic misconduct is an overly reductionist and polarizing approach to the debate. Our value proposition is that artificial intelligence is already here and as educators we have a responsibility to ensure we are taking an ethical approach about how it can be used for teaching, learning, and assessment. We discuss how artificial intelligence tools can be used to support ethical and equitable approaches to student success. Keywords: artificial intelligence, academic integrity, academic misconduct, plagiarism, GPT-3, ChatGPT, large language models (LLM), algorithmic writing, transdisciplinary, transdisciplinarity Cite this presentation as: Eaton, S. E., Brennan, R., Wiens, J., & McDermott, B. (2023, January 25). Artificial intelligence and academic integrity: The ethics of teaching and learning with algorithmic writing technologies Invited talk for the Webinar Series organized by the Faculty Merit Committee (FMC) Learning Development Team, Bournemouth University, UK.en_US
dc.identifier.citationEaton, S. E., Brennan, R., Wiens, J., & McDermott, B. (2023, January 25). Artificial intelligence and academic integrity: The ethics of teaching and learning with algorithmic writing technologies. https://prism.ucalgary.ca/handle/1880/115769
dc.identifier.urihttp://hdl.handle.net/1880/115769
dc.identifier.urihttps://dx.doi.org/10.11575/PRISM/40682
dc.language.isoengen_US
dc.publisher.facultyWerklund School of Educationen_US
dc.publisher.institutionUniversity of Calgaryen_US
dc.rightsUnless otherwise indicated, this material is protected by copyright and has been made available with authorization from the copyright owner. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.en_US
dc.subjectartificial intelligenceen_US
dc.subjectacademic integrityen_US
dc.subjectacademic dishonestyen_US
dc.subjectGPT-3en_US
dc.subjectChatGPTen_US
dc.subjectlarge language modelsen_US
dc.subjectalgorithmic writingen_US
dc.subjecttransdisciplinarityen_US
dc.titleArtificial intelligence and academic integrity: The ethics of teaching and learning with algorithmic writing technologiesen_US
dc.typeconference paperen_US
ucalgary.item.requestcopytrueen_US
ucalgary.scholar.levelFacultyen_US
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