The College's full policy and procedures can be found here:
Please also see the new GenAI specific guide for information on GenAI and it's use.
Most of the applications employing artificial intelligence for writing are based on natural language processing (NLP). NLP uses computer algorithms to break down written language (that which is fed into the systems) and fragments this information to analyze both grammar and meanings within a context. In theory, the systems learn to mimic human language through this process. NLP breaks down words and categorizes them into their various forms of speech (verbs, nouns, etc.).
The NLP applications use machine learning algorithms that analyze and respond with written content based on statistical expectations of what words are most likely to follow one another in a specific response. The more these applications have as input the more accurate they may become.
Fleming College does not use AI detection tools at this time and faculty are guided not to submit student work into online checkers. Emerging research in this field continues to identify issues of reliability with so-called AI detectors.
Faculty should continue to use their experience and knowledge as subject matter experts while evaluating student work. The inappropriate use of GenAI in student work (used without explicit direction or permission) can sometimes be identified by the following markers:
The number of applications available continues to grow, but here are some of the types of tools integrating AI that students are now accessing regularly:
Math/Science equation apps allow students to upload equations and get answers - This video highlights some available in 2021. Socratic, Chegg
Writing Tools - these tools are being used to paraphrase, translate and remix information for students. Growing exceedingly more sophisticated there are tools that exist now that can quickly turn out essays, blogs, and test answers with a mere few keywords. Quillbot, ChatGPT, Jasper.ai, Bard
Image Creation Tools - these tools are used to autogenerate images based on keywords or examples. DALL-E 2, Midjourney, Stable Diffusion
Presentation Tools - these tools may provide GenAI integration to assist in flow, design and content summary. Canva, Prezi,
With every technological advancement comes challenges and opportunities to adapt pedagogical practices to support students' future success in an ever changing world. This too might come to pass with artificial intelligence if a conscious effort is made to understand its benefits and limitations. The following are resources developed recently by several other institutions.
The introduction of any tool in the classroom warrants open discussion with students on appropriate use and acknowledging that there may be ethical concerns for faculty and students alike. Some of these prompts may assist in openly discussing these with your students (York University, 2023):
The following list is provided as a starting place to understand artificial intelligence writing tools, their place in and out of the classroom, and their impact on academic integrity.
ChatGPT Basics
CNBC - Why OpenAI’s ChatGPT Is Such A Big Deal [Video 12:52] (generative AI)
Understanding AI's Limitations and Capabilities, York University
Eaton, S. and Anselmo, L. (2023, January). Teaching and Learning with Artificial Intelligence Apps
Guides for Faculty
University of Toronto Guide
ChatGPT & Education - slide deck being regularly updated from Torrey Trust, Ph.D., College of Education, University of Massachusetts Amherst (CC BY NC 4.0)
Other Issues and thoughts
Privacy Issues and Free Labour - ChatGPT and Good Intentions in Higher Ed
Artificial Intelligence and Academic Integrity, ENAI Webinar with Thomas Lancaster [Video 1:01:51]
Other AI Issues to be aware of:
Coded Bias [Feature Film] currently available on Netflix https://www.netflix.com/ca/title/81328723
The use of eproctoring software at post-secondary institutions: A balanced approach by David Luinstra
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