Using Generative AI Ethically: Teaching, Learning, and Assessing in a Postplagiarism Era

Abstract

Teaching and assessing writing have become increasingly complex with the emergence of artificial intelligence (AI) apps and tools that students can access freely or at a low cost. In this keynote, Sarah Elaine Eaton provides insights into how Large Language Models (LLMs) such as ChatGPT and similar apps are impacting teaching, learning, and assessment. Dr. Eaton will share insights from a recent research project she is leading at the University of Calgary in which the team is asking the question: What are the ethical implications of artificial intelligence technologies for teaching, learning, and assessment? This session is not about how to use specific tools. Instead, we will delve into the broad ethical and practical implications of AI for education. Considerations for equity, diversity, and inclusion and advocacy will be addressed. A key takeaway is that a comprehensive and holistic view academic integrity is about more than preventing plagiarism or cheating; it is about ethical decision-making in and beyond the classroom. In a multi-stakeholder approach to academic integrity, everyone within the educational system holds a responsibility for ethical conduct, including how we use technology today and into the future. Cite as: Eaton, S. E. (2023, July 25). Using Generative AI Ethically: Teaching, Learning, and Assessing in a Postplagiarism Era [Invited presentation]. Ontario Universities Council on eLearning (OUCeL) Summer Institute, Ontario, Canada [Online].