Eaton, Sarah ElaineBrennan, RobertWiens, JasonMcDermott, Brenda2023-01-252023-01-252023-01-25Eaton, 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/1880/115769http://hdl.handle.net/1880/115769https://dx.doi.org/10.11575/PRISM/40682The 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.engUnless 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.artificial intelligenceacademic integrityacademic dishonestyGPT-3ChatGPTlarge language modelsalgorithmic writingtransdisciplinarityconference paper