Earlier quoted context omitted.
Hmmm. I also work in AI, in fact professionally in information retrieval and NLP. I disagree strongly with what you say. Basic topic summarization and keyword / named entity extraction on unstructured sources of text works reasonably well. It’s easy to modify BERT and GPT on smaller problems, language classification is borderline totally solved by extremely easy to train neural network models. I still agree that auto…
It's completely possible I'm not fully up on recent progress, especially since a bunch of stuff seems to have moved in the past 6 months. But I haven't seen any general models that can solve open-domain problems, without specifically retraining on each domain. Do you have any pointers? E.g. a single pretrained BERT model that can reliably extract topics from: tweets, paragraphs from 19th-century novels, mathematics j…
Flawed Algorithms Are Grading Millions of Students’ Essays
101–110 of 302 posts
Re: Flawed Algorithms Are Grading Millions of Students’ Essays
#102Because a (likely unsophisticated) algorithm is grading the essays, there's probably a deterministic method to do score well. This seems like a terrible idea. It's not a stretch to imagine the opportunity for nefarious behavior this allows - think of the recent college admission scandals, and how happy they'd be to have a guise of algorithmic indifference'. If used long-term, it could offer a big advantage to the wea…
Surely there's a deterministic method to score well on the math questions?
Re: Flawed Algorithms Are Grading Millions of Students’ Essays
#103“In most machine scoring states, any of the randomly selected essays with wide discrepancies between human and machine scores are referred to another human for review”. And “between 5 to 20 percent” of essays are randomly selected for human review. So the takeaway is that if you’re one of the 80-95% of (typically black or female) people who the machine scored dramatically lower, but are not selected for human review,…
>So the takeaway is that if you’re one of the 80-95% of (typically black or female) people who the machine scored dramatically lower It's quite funny how are some people manipulated to think that society and especially education is somehow biased against minorities or women when opposite is true[1][2]. [1] https://www.studyinternational.com/news/record-high-numbers-... [2] https://www.independent.co.uk/news/world/ame…
Re: Flawed Algorithms Are Grading Millions of Students’ Essays
#104This is my first time learning that AI-graded essays are a thing. Am I the only one who thinks that's insane? I feel like you'd probably have to have an AGI to meaningfully evaluate an essay.
Maybe nobody really makes a big deal about it because it is pretty much irrelevant anywah. Applicants provide a letter of intent that the grad dept people can, y'know, actually read for themselves, so I think unless you totally bombed the writing section nobody cared.
Re: Flawed Algorithms Are Grading Millions of Students’ Essays
#105I wish this machine bias wasn't always presented in such divisive terms as race and "disadvantaged groups". It can affect anybody. If you happened to develop a writing style that looks like typical bad essay writers' style, then you could be hurt by bias in the grading.
Re: Flawed Algorithms Are Grading Millions of Students’ Essays
#106This is my first time learning that AI-graded essays are a thing. Am I the only one who thinks that's insane? I feel like you'd probably have to have an AGI to meaningfully evaluate an essay.
In a forum of CS people I'm surprised this is one of the top opinions. Our field is full of super surprising results like this -- that you don't have to actually understand the text at beyond basic grammar structures to reasonably accurately predict the score a human would give it. Like this kind of thing should be cool , not insane. I mean wasn't it cool in your AI class when you learned that DFS could play Mario if…
Yeah, it's cool, but what about your savings account?
Re: Flawed Algorithms Are Grading Millions of Students’ Essays
#107“In most machine scoring states, any of the randomly selected essays with wide discrepancies between human and machine scores are referred to another human for review”. And “between 5 to 20 percent” of essays are randomly selected for human review. So the takeaway is that if you’re one of the 80-95% of (typically black or female) people who the machine scored dramatically lower, but are not selected for human review,…
>So the takeaway is that if you’re one of the 80-95% of (typically black or female) people who the machine scored dramatically lower It's quite funny how are some people manipulated to think that society and especially education is somehow biased against minorities or women when opposite is true[1][2]. [1] https://www.studyinternational.com/news/record-high-numbers-... [2] https://www.independent.co.uk/news/world/ame…
Re: Flawed Algorithms Are Grading Millions of Students’ Essays
#108They seem to have figured out being political gets them clicks over substance. So much for the days they just reported stories other media wouldn't cover.
Any sources backing anything here?
Is NLP actually used to primarily grade papers anywhere in the USA?
It seems way beyond current technology.
Checking if a human marker doesn't need their score checked, perhaps could possibly be implemented.
Re: Flawed Algorithms Are Grading Millions of Students’ Essays
#109I wish this machine bias wasn't always presented in such divisive terms as race and "disadvantaged groups". It can affect anybody. If you happened to develop a writing style that looks like typical bad essay writers' style, then you could be hurt by bias in the grading.
If you don't talk about the actual problem, how can you possibly expect to solve it?
Re: Flawed Algorithms Are Grading Millions of Students’ Essays
#110Earlier quoted context omitted.
‘Poor sentence structure and grammar, 1 point out of five. Sorry your daddy touches you.’
Punch up, not down.