Pdf Faculty Framework For Generative Ai Cdn Butler Edu
Generative AI (GAI) is reshaping education, prompting discussions about its impact on higher education. Questions and concerns about academic integrity and trust in GAI have emerged as AI tools become more visible and accessible. It is crucial for faculty to have a clear understanding of the potential and limitations of GAI to mitigate risks and negative impacts on faculty, students, and learning. By understanding the potential and limitations of GAI, those in higher education can leverage its benefits while mitigating risks. The idea of a GAI framework arose from faculty requests for guidance on ethical GAI use. After collecting feedback at the 2024 Celebration of Innovation in Teaching and Learning on a first iteration of GAI guidelines, Butler University’s GAI Faculty/Staff Workgroup developed this Framework to provide a roadmap for Butler...
The committee based the framework on current literature, best practices, active discussion, and industry insights. The content of the Framework offers essential guidance on ethical use and responsible integration of GAI into higher education. It outlines key principles, ethical considerations, and practical strategies for incorporating GAI into teaching, development, and more. By providing guidance and promoting open dialogue about GAI, this Framework supports faculty in creating a productive learning environment. As GAI rapidly evolves, the Framework will be regularly reviewed to ensure its continued relevance and effectiveness in supporting faculty in creating a future-ready learning environment ethically. Comments and contestations are welcomed to continue active dialogue and shared learning.
If you’re interested in having members of the GAI Workgroup speak to your college or department, please contact oeet@butler.edu. In Spring 2024, the Provost’s Office convened a working group of faculty and staff to develop guidance around the use of generative AI in teaching and learning. The group met several times throughout spring and summer semesters. The following information reflects the working group’s perspective on generative AI and does not represent the official position of Butler University on this topic. Generative AI is part of contemporary work, academia, and culture. While it has the potential to greatly enhance productivity, learning, and creativity, it is crucial to understand its limitations and the ethical implications of its use.
As we use generative AI, we must keep in mind the developers and the for-profit nature of the tools. We must raise awareness of and advocate against injustices, inaccuracies, biases, and potential misuse of this technology. In an academic setting, it is important to teach students, staff, and faculty how to use generative AI ethically and effectively. There are many unknowns about generative AI and its effect on thinking, creativity, and other uniquely human skills. Students, faculty, and staff at Butler should know the ways in which their field is using generative AI, and they should know enough about the technology to make an informed decision as to whether... We should integrate generative AI into the curriculum where appropriate, emphasizing its benefits, fostering critical thinking about its applications, and considering drawbacks.
Such drawbacks include environmental impact, intellectual property violations, copyright concerns, job displacement, and the disruption of traditional teaching roles. By balancing optimism and hearty skepticism, we can prepare the Butler community to use this technology ethically, effectively, and innovatively in their academic and professional lives. The research and best practices around generative AI will continue to develop. We recognize that the information gathered here represents information at a specific moment in time and is part of an iterative process and ongoing conversations. We believe that diverse perspectives sharpen our collective understanding, and we welcome feedback on the work collected here. Developed in the summer of 2024, the Framework outlines a roadmap for faculty using GAI in teaching and learning.
by Jose Antonio Bowen & C. Edward Watson Many of these newsletters are hosted on Substack - a platform that allows writers to monetize their work. However, all in this list currently offer a FREE tier and you can read without subscribing or creating an account. They are also not all solely focused on AI. Is your university wondering how to respond to ChatGPT and other AI tools?
The Butler University academic technology team has curated generative AI resources, including the following topics: We welcome any faculty at a PALNI institution to enroll in the course to access resources and participate in our Innovation Grant project. You will be eligible for a stipend if you submit a first draft of an AI class activity by the following deadlines: Wednesday, September 13, 12:00 – 1:00 PM Thursday, September 21, 12:00 – 1:00 PM Artificial Intelligence (AI) refers to the simulation of human-like intelligence using computer systems. ChatGPT, for example, is a specific type of AI model that uses complex language models and deep learning techniques to generate human-like responses to text input.
These AI models are trained on vast amounts of data to understand language patterns and contexts and to generate coherent responses. Among the many things AI can be beneficial in research, brainstorming, and writing. Here is a quick guide to getting better acquainted with using AI in the classroom. Productivity tools can kick-start the research process by breaking down larger projects into manageable tasks, setting expectations around task duration, and turning a brainstorm of ideas into a compiled list. Zotero, the open-source citation manager, works well with AI-based research tools. Use these tools below to help you find and save scholarly articles and sources directly to your Zotero library.
These tools will help you check your grammar and think through phrasing because they are fundamentally about pattern recognition, comparison, and ultimately conformation to a machine-driven standard. Check with your faculty for specific use restrictions in classroom writing. Remember, AI is a tool and should be treated as such, it cannot do your thinking for you. It can help with outlines, brainstorming, sentence structure, etc., but it is not a substitute for the actual work of writing. Hopefully, these tools can help you develop ideas so that you can excel in the classroom.
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Generative AI (GAI) Is Reshaping Education, Prompting Discussions About Its
Generative AI (GAI) is reshaping education, prompting discussions about its impact on higher education. Questions and concerns about academic integrity and trust in GAI have emerged as AI tools become more visible and accessible. It is crucial for faculty to have a clear understanding of the potential and limitations of GAI to mitigate risks and negative impacts on faculty, students, and learning....
The Committee Based The Framework On Current Literature, Best Practices,
The committee based the framework on current literature, best practices, active discussion, and industry insights. The content of the Framework offers essential guidance on ethical use and responsible integration of GAI into higher education. It outlines key principles, ethical considerations, and practical strategies for incorporating GAI into teaching, development, and more. By providing guidanc...
If You’re Interested In Having Members Of The GAI Workgroup
If you’re interested in having members of the GAI Workgroup speak to your college or department, please contact oeet@butler.edu. In Spring 2024, the Provost’s Office convened a working group of faculty and staff to develop guidance around the use of generative AI in teaching and learning. The group met several times throughout spring and summer semesters. The following information reflects the wor...
As We Use Generative AI, We Must Keep In Mind
As we use generative AI, we must keep in mind the developers and the for-profit nature of the tools. We must raise awareness of and advocate against injustices, inaccuracies, biases, and potential misuse of this technology. In an academic setting, it is important to teach students, staff, and faculty how to use generative AI ethically and effectively. There are many unknowns about generative AI an...
Such Drawbacks Include Environmental Impact, Intellectual Property Violations, Copyright Concerns,
Such drawbacks include environmental impact, intellectual property violations, copyright concerns, job displacement, and the disruption of traditional teaching roles. By balancing optimism and hearty skepticism, we can prepare the Butler community to use this technology ethically, effectively, and innovatively in their academic and professional lives. The research and best practices around generat...