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Posted By Katie Hamilton, Joyce University of Nursing and Health Sciences,
Tuesday, January 21, 2025
Updated: Friday, January 17, 2025
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Setting Expectations for Student Use
Authors: Katie Hamilton, Chief of Staff – Office of the Provost, and Jonathan Hill, MD, PhD, Faculty Training and Development Specialist.
Artificial Intelligence (AI) has brought unique challenges and opportunities to higher education. Like institutions nationwide, faculty and leaders at Joyce University of Nursing and Health Sciences (Joyce) sought to develop a policy that ensured responsible
and ethical student use of the emerging and evolving technology. In this post, we share the process our university took to develop the Artificial Intelligence Use Policy and Procedure for students, and what’s next for AI policy.
Artificial Intelligence Position Statement
Prior to the policy work, a Joyce Artificial Intelligence taskforce contributed to the development of the following statement, which guided the work to follow.
At Joyce University of Nursing and Health Sciences, we recognize that Artificial Intelligence (AI) represents a transformative force with potential to shape the future. As an Institution dedicated to education and innovation, we are committed to harnessing
the power of AI in a way that aligns with the University’s mission and vision.
As guided by the University’s values, we will navigate the possibilities that AI presents, striving to create an academic and healthcare education landscape that is inclusive,
empowering, and enriched by the responsible and ethical use of AI.
AI Use Policy Development
- Policy Purpose
Prior to the AI Use Policy, Joyce faculty observed an uptick in student coursework submitted that reflected the use AI for completion. Without clear guidelines, faculty and administration lacked a complete toolbox
to support responsible and ethical student AI use. The taskforce developed the policy to provide clear expectations for students’ acceptable and unacceptable use of AI and an avenue for reporting violations.
- Artificial Intelligence Use Policy
Our policy authors developed guidelines for the acceptable use of AI for student coursework while ensuring faculty remained empowered to guide the use of AI in their courses and to reduce
sole dependence on AI percentage reports provided by plagiarism checkers (e.g., Turnitin). The policy outlines three categories of AI use cases: Authorized Use, Unauthorized Use, and Prohibited Use, as summarized below.
- Authorized Use
- Faculty permission is granted to use AI in the course.
- Use of AI to edit and/or expand upon student authored work.
- Use of AI to generate ideas (not content) towards the application of coursework.
- Use of AI to assist in the organization and collection of research related materials.
- Unauthorized Use
- Absence of faculty permission to use AI in the course.
- Absence of student contribution in the coursework.
- Absence of the acknowledgement of AI use.
- Prohibited Use
- Input of documents or information proprietary to the University.
- Input of identifying or confidential information without permission.
- Policy Enforcement
We have had success at Joyce including the AI Use Policy violation reporting within the Student Code of Conduct reporting process to ensure equitable, consistent sanctions and effective support for faculty and students. The authors accomplished
policy accountability through the procedure below.
Students that violate the Artificial Intelligence Use Policy will be considered in violation of the Student Code of Conduct Policy, specifically the Academic Integrity Standards, and will be subject to disciplinary action in accordance
with the Student Code of Conduct Policy and Procedure as published in University Catalog.
What’s next for AI Policy at Joyce?
- AI Use Policy Effectiveness Evaluation
Joyce recently implemented a policy evaluation process for recently published policies. The AI Use Policy has been in place for a semester and is ready to undergo this evaluation to inform
any revisions. Through this evaluation, we will also explore additional AI policy needs, AI governance frameworks, and consider broadening the policy scope to address emerging technologies and applications using AI.
- Faculty AI Training and Education
The Joyce Faculty Academy will begin offering a course on AI in healthcare and education to increase AI literacy at Joyce.
Recognition: A special thank you to the policy authors, Dr. Jonathan Hill, MD, PhD, Faculty Training and Development Specialist, and Tricia Kingsley, Director of Legal Affairs and Associate Counsel, for their commitment to the development
of the Artificial Intelligence Use Policy.
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Posted By Teresa Raetz, Georgia Gwinnett College,
Monday, April 1, 2019
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The Impact of Automation and AI
One aspect of my job is to research emerging issues for my campus and make recommendations for how we should be preparing for them. This post evolved from a policy and practice brief I recently wrote for my institution on the role of automation and artificial intelligence (AI) on the economy and the subsequent challenges for how we prepare students and operate as an organization.
While campus traditions and cultures vary, most of us have experienced—and currently work in—an educational system that prepares workers for an Industrial Revolution-based economy. Our modern economy, however, is changing in ways that will likely affect both the way we prepare students and our own workplaces; one of the drivers of that change is automation and AI.
Most people are familiar with the impact of automation on factory and blue-collar jobs that began to speed up in the 1970s. What many don’t appreciate is that increasing numbers of white-collar professions, such as radiology, accounting, stock trading, paralegal work, and even some aspects of journalism, have already been significantly influenced by machines that can do the work as effectively as humans.[i] Yes, some of the news stories you are currently reading are written by nonhumans. A 2013 Oxford University study predicted that nearly half of all jobs will be in danger of automation in the next two decades,[ii] and a 2015 McKinsey report predicted that 45% of all work can be automated by technology that’s currently available.[iii]A survey found that most researchers believe that AI systems will probably (i.e., more than 50% likelihood) achieve the ability to work at the same level as humans beginning around 2040.[iv] Even more moderate predictions see a large impact on the workplace, with 9% of the workforce being displaced.[v]
Skeptics say that the world economy has previously experienced several major technological disruptions—such as the power loom that displaced weavers and the car that eliminated most of the relevant products and services for horse-drawn carriages—and each time the economy recovered as people reskilled. Several experts say, however, that the disruption caused by AI is different because it is exponential in its ability to change and adjust.[vi]
Even if the more dire predictions don’t come to pass, it’s certain that AI and automation will impact our lives as workers, as well as those of our graduates. While it’s unlikely that instruction and service units will be completely automated, technology is currently in use that automates important functions like grading, tutoring, and answering basic inquiries from students.
Because so much is unknown about the impact of AI on education, there are more questions than answers at this point, but it’s important, nevertheless, that campuses begin to engage these coming changes and, as part of that process, give thoughtful consideration to what they mean for our own campuses as workplaces. Has your institution begun thinking about these issues? Has your institution begun using AI to perform functions that were previously done by humans, such as chatbots to answer basic student questions? In an era of scarce budget resources, what stance, if any, does your campus take on preserving the jobs of human workers versus using technology that can perform some or all of their functions?What policy and ethical implications do you foresee, as AI becomes more integrated into the work of education?
[ii] Frey, C. B. & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerization? Technological Forecasting and Social Change, 114, 254 – 280.
[iv] Müller, V. & Bostrom, N. (2014). Future progress in artificial intelligence: A survey of expert opinion. In V. C. Müller (ed.), Fundamental Issues of Artificial Intelligence (555 – 574). Berlin: Springer.
[v] Arntz, M. Gregory, T, & Zierahn, U. (2016). The risk of automation for jobs in OECD countries: A comparative analysis. OECD Social, Employment and Migration Working Papers, 189. Paris: OECD Publishing. Retrieved from http://dx.doi.org/10.1787/5jlz9h56dvq7-en
Tags:
AI
Artificial intelligence
automation
change
chatbot
workplace
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