Embedded Files
F26 Reading Week Professional Learning - Coming Soon!
AI Policies at SLC
SLC has a corporate and academic policy on Artificial Intelligence (linked below). Educators and staff are responsible for reviewing and abiding by both policies.
AI & Academic Integrity at SLC
AI & Academic Integrity at SLC
Unapproved or inappropriate use of GenAI tools by learners and educators may be considered an infringement of academic integrity and viewed as cheating or plagiarism. The AC406 Academic Integrity Policy is linked here for further reading.
To mitigate unapproved or inappropriate use of AI, it is recommended that all educators:
explore GenAI tools to better understand their capabilities
'stress test' existing assessments to identify areas for process redesign or tool integration
craft course-level GenAI expectations detailing what tools/level of usage is acceptable (if any)
include assessment-level guidelines for tool usage (if appropriate) as part of all assessment instructions
modify assessment rubrics to account for inappropriate usage
engage students in conversations regarding the appropriateness or inappropriateness of GenAI use
AI Content Detection
AI Content Detection
Detection tools are not reliable.
Detection tools are not reliable.
Multiple studies have demonstrated the fallibility of detection tools due to their bias against English as a Second Language (ESL) students, inaccurate labeling of content as being AI-generated, and general inability to consistently function as promised. Please see the articles below for further reading.
In brief, content detectors work by analyzing patterns in text. Two key metrics are perplexity (predictable word choice) and burstiness (variations in sentence length and structure). Both of these can easily by modified by prompting.
What the content detectors are more than likely flagging are underdeveloped writing habits. And as detectors improve, so do the AI writing tools. It's a never-ending game of cat-and-mouse.
Further reading on AI content detectors
Further reading on AI content detectors
Game of Tones: Faculty detection of GPT-4 generated content in university assessments (Journal of Academic Ethics, 2023)
GPT detectors are biased against non-native English writers (Arxiv, 2023)
Navigating the Shadows: Unveiling Effective Disturbances for Modern AI Content Detectors (Arxiv, 2024)
Perception, performance, and detectability of conversational artificial intelligence across 32 university courses (Nature, 2023)
Testing of Detection Tools for AI-Generated Text (International Journal for Educational Integrity, 2023)
Have questions about GenAI and academic integrity?
Page updated
Google Sites
Report abuse