AI Checkers Forcing Kids to Write Like a Robot to Avoid Being Called a Robot
The rise of AI checkers in education raises concerns about creativity and writing skills, as inaccuracies in tools like Grammarly may lead students to alter their writing to avoid false AI labels.
Read original articleThe rise of AI checkers in educational settings is raising concerns about creativity and writing skills among students. A recent incident involving a student's essay highlighted the limitations of these tools, particularly Grammarly's AI checker, which inaccurately flagged parts of the essay as potentially AI-generated. The checker suggested that the use of certain vocabulary, like "devoid," contributed to a high AI score, prompting the student to alter their writing style to avoid being labeled as using AI. This situation reflects broader issues with California's SB 942, which mandates AI detection tools despite their unreliability. Critics argue that such regulations may stifle creativity and lead students to conform their writing to avoid false positives. The article suggests that instead of relying on AI checkers, educators should explore more constructive approaches, such as having students engage with AI-generated content critically. Ultimately, the fear of being accused of using AI may hinder students' natural writing abilities, echoing the themes of Kurt Vonnegut's "Harrison Bergeron," which critiques enforced equality at the expense of excellence.
- AI checkers may discourage creativity in student writing.
- Grammarly's AI detection tool has been criticized for its inaccuracy.
- California's SB 942 could exacerbate reliance on unreliable AI detection tools.
- Educators are encouraged to find alternative methods to engage with AI in the classroom.
- The fear of being labeled as using AI can negatively impact students' writing skills.
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- Many educators express frustration with AI detection tools, arguing they often misidentify human writing as AI-generated.
- There is a call for more in-person assessments to ensure the authenticity of student work.
- Some commenters highlight the potential negative impact on students' writing styles and creativity due to reliance on AI tools.
- Concerns are raised about the effectiveness and accuracy of AI checkers, with suggestions that they may create confusion rather than clarity.
- Several participants advocate for a reevaluation of grading systems to maintain trust and integrity in academic evaluations.
This means graded longer tasks such as writing or programming, which in the past were done outside of class and then handed in, are instead done in person (like most exams are, traditionally). To acknowledge the longer process, the time alotted for such a test is much longer (up to 3 hours instead of 1) and I can expect less of work created in 3 hours than work created over 6 weeks.
Students still have the opportunity to hand in work that was done outside of such an in-person test, which I will grade, but that grade isn't on the record is serves only as an indication.
I wish I could trust students, but plagiarism has become so easy now (added to a zeitgeist of personal gain above all) that a critical mass fails to resist.
I think diploma's are very useful. They get their usefulness from the trustworthiness of the party handing out the diploma. Only recording grades for work that has been done in an environment controlled by that party has downsides, but in the current and foreseeable situation I don't see a better way of maintaining a base level of trustworthiness.
I love teaching without grades or diplomas involved so much more. Then it's all about doing what's best for the students.
They may have to go to the local press or a board meeting to get that result though.
It should be like getting a blood test from a doctor unless they are testing for drugs why would you try to cheat with someone elses blood?
We don't need to figure out how to sidestep the fundamental flaws with our institutional education we need to find and fix the root cause.
Being "autheticated" as "knowing stuff" (your degree and GPA) doesn't translate into companies being able to tell if you can do a job. It didnt before AI and it doesn't now.
Everyone should stop and think about how dumb it is that children and adults are trying to cheat at learning. You can't cheat learning. So why do people try and succeed? Because we arent actually asking for learning we are asking for something else.
Personally I think the whole endeavour is a waste of energy. Unless there's a massive civilisational collapse, humans will always have LLMs as writing aides, so trying to teach them to write without one is teaching them a skill they'll never need to use.
If you want to teach them to reason on the spot, then go back to requiring them to orally put forth and defend an idea.
Unfortunately, the way I write, (like any well educated Indian) is a rather verbose, formal and rather florid in it's manner, and with no fewer than 3 conjuctives (when I don't want the reader to understand what I just wrote) per sentence. This style is for good or bad understood by turnitin as being AI generated.
So, I have had to unfortunately simplify and write in a more stilted manner, just to be able to submit my assignment.
Yes, you could still use AI for any take home work, but I think what forces students to AI isn't the lack of will to do the work. It's the "I have a 5 page paper due tomorrow and I haven't started" cliff.
I mean, writing education is messed up in so many ways, but if I'm being realistic this is the path forward.
It doesn't even work, its non deterministic, and most importantly - if the teacher is familiar with the student's writing it should be pretty obvious if this is a fake or not based on something they can be observed doing.
LLMs have grammatically correct blithering nailed. One amusing result is that Derrida and his followers now sound like an LLM with the temperature medium high.
Maybe we should be teaching kids to not write like that.
Mandatory XKCD.[2]
I really wonder why these tools even show detection percentages when they’re meaninglessly low. A 17% result from a classifier model is totally meaningless. You could show a well-trained animal classifier the first Google Images result for “cat” and it would still say there’s a 17% chance it’s a cow. Showing low-likelihood predictions will do nothing but freak people out and confuse them.
I like the relative mobility in the Indian system since anyone can swot to the test, but clearly the US system is much more enjoyable for a wider variety of students and they have a wider range of skills.
I think I'd like for my children to have a composite of the two. I dislike neverending homework and love tests because spiky activity allows for lots of self-directed exploration and the tests allow for evaluation. Though it's like that this is because I, personally, am quite capable with tests: I operate very well under time pressure and have an exceptional memory.
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