Ethical Implications of Gen-AI and LLMs in Computing Education
The panel convenes five educators to discuss the ethical implications of utilising Generative AI (Gen-AI) and Large Language Models (LLMs) in computing education. Their expertise spans various domains, including organising national workshops on the implications of generative AI tools, conducting surveys on their use within curricula, implementing institutional policies related to technology use, and engaging with students directly in the classroom. They reflect on the evolution of Gen-AI and LLMs from challenging-to-use technologies to indispensable tools for users of all levels. Furthermore, they examine the ethical dilemmas arising from the widespread adoption of these technologies in educational contexts, particularly regarding issues of originality, integrity, and responsible use. In addition, they explore practical strategies for integrating ethics education into computing curriculum design and classroom practices. This includes discussions on the role of educators in guiding students towards ethical technology usage, addressing uncertainties surrounding Gen-AI tools, and fostering a culture of responsible innovation within educational institutions. Through their collective insights and experiences, the panel aims to provide recommendations for navigating the ethical complexities inherent in the integration of Gen-AI technologies into computing education curricula.
Thu 5 DecDisplayed time zone: (UTC) Coordinated Universal Time change
14:30 - 16:00 | |||
14:30 90mPanel | Ethical Implications of Gen-AI and LLMs in Computing Education Conference Mark Zarb Robert Gordon University, Tiffany Young Robert Gordon University, John N.A. Brown Robert Gordon University, Martin Goodfellow University of Strathclyde, Konstantinos Liaskos University of Strathclyde |