AI & AI: Exploring the contemporary intersections of artificial intelligence and academic integrity

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dc.contributor.authorKumar, Rahul
dc.contributor.authorMindzak, Michael
dc.contributor.authorEaton, Sarah Elaine
dc.contributor.authorMorrison, Ryan
dc.date.accessioned2022-05-10T15:53:14Z
dc.date.available2022-05-10T15:53:14Z
dc.date.issued2022-05-17
dc.description.abstractIssues emerging from the use of artificial intelligence technologies in academic integrity are examined using deontological (principle-based), utilitarian (consequence-based), and feminist (community-based) ethical theories. Specifically, how are these ethical theories to be applied to the matters of Ai when AI mitigates educational interactions? Aside from ethics, the reality of the use of artificial intelligence technology has an impact on labour and even academic labour. Using contemporary theories that tackle automation and work is examined in the context of higher education. Although the futures are volatile, uncertain, complex, and ambiguous (VUCA), the trajectory of how artificial intelligence will be deployed is certainly uncertain. But the application of AI in text generation is here and readily available. Currently, there are a growing number of automatic text generators based on Large Language Models (LLMs) that are available to students at little or no cost. The impact on academics and education is inevitable, and while there are no explicit solutions, there are pedagogically appropriate opportunities that could provide broader change in creating more authenticity in the development of student writing. All the previously explored trends immediately affect academic integrity and assessment in post-secondary education. In the final presentation, the current practices will be troubled, and new opportunities discussed.en_US
dc.identifier.citationKumar, R., Mindzak, M., Eaton, S. E., & Morrison, R. (May 17, 2022). AI & AI: Exploring the contemporary intersections of artificial intelligence and academic integrity (Conference Presentation). Canadian Society for the Study of Higher Education Annual Conference, Onlineen_US
dc.identifier.urihttp://hdl.handle.net/1880/114647
dc.identifier.urihttps://dx.doi.org/10.11575/PRISM/39762
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.subjectacademic integrityen_US
dc.subjectacademic misconducten_US
dc.subjectartificial intelligenceen_US
dc.subjectethicsen_US
dc.subjecthigher educationen_US
dc.subjectteachingen_US
dc.subjectlearningen_US
dc.subjectassessmenten_US
dc.titleAI & AI: Exploring the contemporary intersections of artificial intelligence and academic integrityen_US
dc.typeconference paperen_US
ucalgary.item.requestcopytrueen_US
ucalgary.scholar.levelFacultyen_US
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