Intro | 3min snip from Teaching in Higher Ed

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A Big Picture Look at AI Detection Tools

Teaching in Higher Ed

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CHAPTER

Intro

This chapter examines the implications of AI detection tools within educational environments, highlighting both the challenges and benefits. It features insights from academic faculty and administration, emphasizing the importance of mentorship and training for educators adapting to these emerging technologies.

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Episode notes

Christopher Ostro shares a big picture look at AI detection tools on episode 555 of the Teaching in Higher Ed podcast.

Quotes from the episode

I think there are tons of students I interact with who are really just curious and trying to use these tools to dig deeper.

I think there are tons of students I interact with who are really just curious and trying to use these tools to dig deeper.
-Christopher Ostro

I want them getting practice on these things that are going to be part of their future careers and lives. I love that my classroom is a stage for that.
-Christopher Ostro

I think AI detection has a place, but its place is limited. I don’t think it should ever be the sole reason a student is getting honor coded.
-Christopher Ostro

I love to tell my students if all you’re doing with these tools is taking the output and submitting as your own work, you don’t have a job.
-Christopher Ostro

Resources

Video: AI Detection: A Literature Review with Christopher Ostro
Slides: AI Detection: A Literature Review
University of Colorado Boulder Learning Design Group
Video: Student Use of AI: A Panel Dialogue
GPTZero, TurnItIn AI Detector, Writer.AI
Can linguists distinguish between ChatGPT/AI and human writing?: A study of research ethics and academic publishing, by J. Elliott Casal & Matt Kessler
A real-world test of artificial intelligence infiltration of a university examinations system: A “Turing Test” case study, by Peter Scarfe, Kelly Watcham, and Alasdair Clarke
Simple techniques to bypass GenAI text detectors: implications for inclusive education, by Mike Perkins et al
Can AI-Generated Text be Reliably Detected? by Vinu Sankar Sadasivan et al
Testing of detection tools for AI-generated text, by Debora Weber-Wulff et al
GPT detectors are biased against non-native English writers, by Weixin Liang et al
Detecting ChatGPT-generated essays in a large-scale writing assessment: Is there a bias against non-native English speakers? by Yang Jiang et al
Kaggle competition 2023 – 2024
h/t to Janae Cohn who shared the article on LinkedIn and posted some additional reflective questions we might ask, as we refuse GenAI in writing studies
Refusing GenAI in Writing Studies: A Quickstart Guide, by Jennifer Sano-Franchini, West Virginia University; Megan McIntyre, University of Arkansas;Maggie Fernandes, University of Arkansas
Maha Bali’s writing on AI (and other topics)
A Man on the Inside
Daytripper (DC Comics)

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