Inside Higher Ed, together with Hanover Research, recently released its annual Survey of College and University Chief Academic Officers, providing insight into the priorities of and challenges facing higher education institutions. With 331 provosts fully or partially completing surveys (a 13% response rate), the survey covered a wide range of topics including artificial intelligence, diversity, equity, and inclusion, campus speech, the future of academic programs, and more. While the comprehensive key findings and data tables can be found in the report, below is a highlight of several major areas.

Artificial Intelligence: Artificial intelligence continues to be an evolving focus at many institutions. 92% of provosts responded that faculty and staff members asked for additional training related to the developments in generative AI. Seventy-eight percent (78%) have offered training in response to faculty concerns or questions about generative AI within the last 18 months and an additional 20% have planned training. For students, only 14% of provosts said that their institution has reviewed the curriculum to ensure that it will prepare students for AI in the workplace, though 73% plan to do so. The use and future of AI is far from settled. Although 47% of provosts are moderately concerned, 20% very concerned, and 6% extremely concerned about the risk generative AI poses to academic integrity, only 20% of institutions have published a policy or policies governing the use of AI, including in teaching and research. An additional 63% have a policy under development. However, in contrast to those concerns, 40% of provosts are moderately enthusiastic, 32% very enthusiastic, and 11% extremely enthusiastic for AI’s potential to boost their institution’s capabilities. Several institutions are using AI for virtual chat assistants and chatbots, research and data analysis, Learning Management Systems, predictive analytics to predict student performance and trends, and in other capacities. This is an area where we can expect rapid developments in the coming months.

The rapid growth of Artificial Intelligence (AI) is creating both excitement and angst on where and how to begin safe, effective integration. While there are many ways AI can be applied, these suggestions are focused on educational delivery. For those who have begun applying and engaging student-facing AI, the vertical evolution requires structured and continuous development of institutional-level AI governance to maintain safe and ethical use. Governance structures should consider continuous growth of policies, guidelines and directives for use, approval processes, and staged training for faculty, staff, and students based on the speed of changes occurring in the market. 

Lacking or vague policies, structure, or training approaches may leave administrators, faculty, and students without the guidance needed to reap the benefits of AI use. Lacking governance structures or broad policies may unintentionally promote unsafe or unethical use of AI on the part of students, faculty, staff, and instructional designers who may not have the proper guidance to integrate. This can lead to compromised course design and program content, AI hallucinations, misinformation, and privacy breaches to proprietary university content, impacting the university and quality of education. 

On 21 February 2023, ACAO hosted a panel discussion on Chat Generative Pre-trained Transformer (ChatGPT) and its potential uses (or abuses) in higher education. The goal of the panel was twofold: (1) to introduce provosts and other attendees to ChatGPT (developed by OpenAI) and similar AI language models and technologies; and (2) to discuss the opportunities and challenges of this new technology on our working, teaching, and learning environments.

Three speakers addressed attendees. First, Dr. Jing Peng from Montclair State University provided a high-level presentation on AI chatbot technology and its evolution over time. Dr. Peng’s presentation highlighted the fact that this technology is not “new,” per se, with roots that extend back decades – but its development is accelerating exponentially as it becomes “smarter” given the vast amount of data that are now available for its refinement and evolution.