If Ferris Bueller Had a Bot
AI Meeting Assistant Policy Landscape of CPED Member Institutions
DOI:
https://doi.org/10.5195/ie.2025.471Keywords:
AI, AI meeting assistants, AI policy, higher education, higher education policyAbstract
Artificial Intelligence (AI) has seen a significant rise in public use since the release of ChatGPT in November of 2022. Higher education institutions (HEI) have struggled to negotiate how best to manage AI technologies within their academic communities, acknowledging both positive and negative impacts of AI on education. Focused primarily on large language model (LLM) technologies, such as ChatGPT, HEIs are working to build policies and guidelines to regulate their use. However, within these policies, few HEIs have considered AI meeting assistants, even though these applications bring their own set of benefits and risks. This article examines the public websites of 135 CPED universities, eight of which mention AI meeting assistants in their policies. The article analyzes the risks, benefits, and use guidance provided by these policies and suggests next steps for HEIs to address the ethical, legal, and pedagogical implications of AI meeting assistants.
References
Akgun, S., & Greenhow, C. (2022). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI and Ethics, 2, 431–440. https://doi.org/10.1007/s43681-021-00096-7
American Council on Education. (n.d.). Carnegie classification of institutions of higher education. https://carnegieclassifications.acenet.edu/
Anft, M. (2023). Perspectives on generative AI: College leaders assess the promise and the threat of a game-changing tool. The Chronicle of Higher Education. https://connect.chronicle.com/rs/931□EKA□218/images/PerspectivesGenerativeAI_ResearchBrief.pdf?version=1
Baidoo-Anu, D., & Ansah, L. O. (2023). Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. Journal of AI, 7(1), 52–62. https://doi.org/10.61969/jai.1337500
Ballenger, S. (2022). Access for Deaf and hard of hearing individuals in informational and educational remote sessions. Assistive Technology Outcomes and Benefits, 16(2), 45–55.
Bearman, M., Ryan, J., Ajjawi, R. (2023). Discourses of artificial intelligence in higher education: A critical literature review. Higher Education, 86, 369–385. https://doi.org/10.1007/s10734-022-00937-2
Berry, P. M., Gervasio, M., Peintner, B., & Yorke-Smith, N. (2011). PTIME: Personalized assistance for calendaring. ACM Transactions on Intelligent Systems and Technology, 2(4), 1–22. https://doi.org/10.1145/1989734.1989744
Canhoto, A. I., & Clear, F. (2020). Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential. Business Horizons, 63(2), 183–193. https://doi.org/10.1016/j.bushor.2019.11.003
Chan, C. K. Y. (2023) A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational Technology in Higher Education, 20, Article 38. https://doi.org/10.1186/s41239-023-00408-3
D’Agostino, S. (2023, March 22). GPT-4 is here. But most faculty lack AI policies. Inside Higher Ed. https://www.insidehighered.com/news/2023/03/22/gpt-4-here-most-faculty-lack-ai-policies
Davis, V. (2023, May 11). Welcome to the wild, wild West of AI and the higher education institution. WCET Frontiers. https://wcet.wiche.edu/frontiers/2023/05/11/welcome-to-the-wild-wild-west-of-ai-and-the-higher-education-institution/
de Barcelos Silva, A., Gomes, M. M., da Costa, C. A., da Rosa Righi, R., Barbosa, J. L. V., Pessin, G., De Doncker, G., & Federizzi, G. (2020). Intelligent personal assistants: A systematic literature review. Expert Systems with Applications, 147, Article 113193. https://doi.org/10.1016/j.eswa.2020.113193
Dempere, J., Modugu, K., Hesham, A., & Ramasamy, L. K. (2023). The impact of ChatGPT on higher education. Frontiers in Education, 8. https://doi.org/10.3389/feduc.2023.1206936
Doroudi, S. (2022). The intertwined histories of artificial intelligence and education. International Journal of Artificial Intelligence in Education, 33(4), 885–928. https://doi.org/10.1007/s40593-022-00313-2
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M. A., Al-Busaidi, A. S., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D., Carter, L… Wright, R. (2023). “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, Article 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642
Eaton, S. E. (2023). Postplagiarism: Transdisciplinary ethics and integrity in the age of artificial intelligence and neurotechnology. International Journal for Educational Integrity, 19(23), Article 23. https://doi.org/10.1007/s40979-023-00144-1
Elo, S., & Kyngäs, H. (2008). The qualitative content analysis process. Journal of Advanced Nursing, 62(1), 107–115. https://doi.org/10.1111/j.1365-2648.2007.04569.x
Floridi, L., & Cowls, J. (2019). A unified framework of five principles for AI in society. Harvard Data Science Review, 1.1. https://doi.org/10.1162/99608f92.8cd550d1
Hsieh, H.-F., Shannon, S. E. (2005). Three approaches to qualitative content analysis. Qualitative Health Research, 15(9),1277–1288. https://doi.org/10.1177/1049732305276687
Hughes, J. (Director). (1986). Ferris Bueller’s day off [Film]. Paramount Pictures.
Järvi, H., Kähkönen, A.-K., & Torvinen, H. (2018). When value co-creation fails: Reasons that lead to value co-destruction. Scandinavian Journal of Management, 34(1), 63–77. https://doi.org/10.1016/j.scaman.2018.01.002
Kimani, E., Rowan, K., McDuff, D., Czerwinski, M., & Mark, G. (2019). A conversational agent in support of productivity and wellbeing at work. 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII), 332–338. https://doi.org/10.1109/ACII.2019.8925488
Krafft, P. M., Young, M., Katell, M., Huang, K., Bugingo, G. (2020, February 7–8). Defining AI in policy versus practice [Conference presentation]. AIES 2020: AAAI/ACM Conference on AI, Ethics, and Society, New York, NY, United States. https://doi.org/10.1145/3375627.3375835
Kramm, N., & McKenna, S. (2023). AI amplifies the tough question: What is higher education really for? Teaching in Higher Education, 28(8), 2173–2178. https://doi.org/10.1080/13562517.2023.2263839
Krippendorff, K. (2019). Content analysis: An introduction to its methodology (4th ed.). SAGE Publications.
Maedche, A., Legner, C., Benlian, A., Berger, B., Gimpel, H., Hess, T., Hinz, O., Morana, S., & Söllner, M. (2019). AI-based digital assistants: Opportunities, threats, and research perspectives. Business and Information Systems Engineering, 61(4), 535–544. https://doi.org/10.1007/s12599-019-00600-8
McCorduck, P. (2004). Machines who think. CRC Press.
Myers, K., Berry, P., Blythe, J., Conley, K., Gervasio, M., McGuinness, D. L., Morley, D., Pfeffer, A., Pollack, M., & Tambe, M. (2007). An intelligent personal assistant for task and time management. AI Magazine, 28(2), 47–61. https://doi.org/10.1609/aimag.v28i2.2039
Otter.ai. (2020, July 22). Otter for education transforms remote learning [Press release]. https://otter.ai/blog/otter-for-education-transforms-remote-learning-2
Primary Research Group. (2023). Survey of US higher education faculty 2023, views on and use of ChatGPT [Report]. https://www.primaryresearch.com/AddCart.aspx?ReportID=757
Saldaña, J. (2021). The coding manual for qualitative researchers (4th ed.). SAGE Publications.
Schmidt, R., Alt, R., & Zimmermann, A. (2023). Assistant platforms. Electronic Markets, 33, Article 59. https://doi.org/10.1007/s12525-023-00671-2
Schön, E.-M., Neumann, M., Holfmann-Stoölting, C., Baeza-Yates, R., & Rauschenberger, M. (2023). How are AI assistants changing higher education? Frontiers in Computer Science, 5. https://doi.org/10.3389/fcomp.2023.1208550
Shaikh, S. J. (2023). Artificially intelligent, interactive, and assistive machines: A definitional framework for intelligent assistants. International Journal of Human–Computer Interaction, 39(4), 776–789. https://doi.org/10.1080/10447318.2022.2049133
Stanley, J., ten Brink, R., Valiton, A., Bostic, T., & Scollan, R. (2022). Chatbot accessibility guidance: A review and way forward. Proceedings of Sixth International Congress on Information and Communication Technology, ICICT 2021, London (Vol. 3), 919–942. https://doi.org/10.1007/978-981-16-1781-2_91
UNESCO. (2023, June 1). UNESCO survey: Less than 10% of schools and universities have formal guidance on AI. https://www.unesco.org/en/articles/unesco-survey-less-10-schools-and-universities-have-formal-guidance-ai
Vears, D. F., & Gillam, L. (2022). Inductive content analysis: A guide for beginning qualitative researchers. Focus on Health Professional Education, 23(1), 111–127. https://doi.org/10.11157/fohpe.v23i1.544
Wood, P. (2023, February 28). Oxford and Cambridge ban ChatGPT over plagiarism fears but other universities choose to embrace AI bot. inews.co.uk. https://inews.co.uk/news/oxford-cambridge-ban-chatgpt-plagiarism-universities-2178391
Woodall, T., Hiller, A., & Resnick, S. (2014). Making sense of higher education: Students as consumers and the value of the university experience. Studies in Higher Education, 39(1), 48–67. https://doi.org/10.1080/03075079.2011.648373
Yasin, D. D. E. (2023, March 22). AI policy advice for administrators and faculty (opinion). Inside Higher Ed. https://www.insidehighered.com/views/2023/03/22/ai-policy-advice-administrators-and-faculty-opinion
Yau, C., & Chan, K. (2023, February 17). University of Hong Kong temporarily bans students from using ChatGPT, other AI-based tools in coursework. South China Morning Post. https://www.scmp.com/news/hong-kong/education/article/3210650/university-hong-kong-temporarily-bans-students-using-chatgpt-other-ai-based-tools-coursework
Zeithaml, V. A. (1998). Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2–22. https://doi.org/10.2307/1251446
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