22 Β· Posted by Marco D Β·

Professors who use AI detection incorrectly are failing their students

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Not sure if this has been discussed before but I think it is worth talking about.\n\nHere is what prompted this post – something happened in my class this week that made me realize how big this issue has become. I am not going to share specifics to protect privacy but the general situation is probably familiar to a lot of you.\n\nI think we need to have a more honest conversation about this because the current approach is not working for anyone.\n\nAnyone have additional resources or experiences to share? The more information we pool together the better.

8 replies

8 Replies

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This is why I always self-check my papers before submitting. Takes 5 extra minutes but saves so much stress.

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I think the bigger issue here is that universities are using these tools as definitive proof when they should be treated as one data point among many.

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I tried three of these tools last week and my results were pretty close to what you found. The variance between detectors is honestly absurd.

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Yeah I ran into the same thing. It is frustrating.

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Just went through this exact situation last month. Ended up having to do an oral defense of my paper which was actually fine because I wrote every word myself.

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Interesting take. I wonder if this varies by institution.

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I had a completely different experience with this. For me the results were actually pretty good but I think it depends on what kind of content you are testing.

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I showed this to my study group and we had a great discussion about it. Thanks for sparking the conversation.