Is your college or university lagging behind in implementing a generative AI use policy? Don’t wait any longer – it’s time to start building one before the fall semester kicks in. Learn more here.
Seek guidance from institutions that have already established policies on generative artificial intelligence. Check out a variety of examples from different higher education institutions here. The 2024 EDUCAUSE AI Landscape Study highlights the urgent need for adequate AI policy frameworks in higher education, with only 23% of institutions reported having any AI-related acceptable use policies in place.
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Getting Started on Your Generative AI in Higher Education Use Policy
Developing a generative AI policy may seem overwhelming, but starting small and gradually expanding is key. Begin by providing clear guidelines on acceptable AI use to students. For example, Stanford University prohibits using generative AI tools to complete assignments and encourages students to disclose any AI assistance. Read more here.
As AI technologies evolve rapidly, a flexible policy foundation is essential. Take the time to understand the perspectives of various stakeholders, as highlighted by Duke University and the International Journal of Educational Technology in Higher Education.
Find out how Temple University crafted its artificial intelligence policy and stay informed about best practices.
What to Do About Academic Integrity and Generative AI
Generative AI facilitates text creation that mimics human writing, posing challenges for academic integrity. Tools to detect AI-generated content are often unreliable, leading students to resort to AI for completing assignments. Institutions like Yale University and Princeton University suggest redesigning assignments to deter cheating and enhance learning.
Recognize students as part of the digital workforce and society, emphasizing the importance of cultivating good digital citizenship. Avoid overly restrictive AI policies that hinder educational exploration.
Three Areas of Generative AI Policy Focus for Higher Education
Consider governance, pedagogy, and operations when formulating AI policies. Address ethical, equity, and accuracy concerns associated with generative AI. Engage stakeholders at individual, departmental, institutional, and multi-institutional levels to develop comprehensive policy frameworks.
Monitor policy effectiveness through surveys and stakeholder feedback. Celebrate achievements and keep stakeholders informed throughout the policy implementation process.
