AI News & Updates
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July 15, 2024

Asians are Graded More Harshly by AI. An Anecdotal Explanation of Why

Female asian student using a laptop outdoors

Recently, I came across a Hechinger Report article about how Asian Americans are graded harsher by AI auto-grading. This was particularly alarming because as an Asian myself and in the business of assessment, racial bias like these need to be addressed.

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A quick TLDR: ETS, the folks who run SATs, analyzed more than 13K essays and found that GPT4o graded students 13% lower overall while graded submissions from Asian students by 18%. Essays were written in a period from 2015 to 2019.

I want to start with some external explanations.

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Could there be bias in the data & prompt?

That was the first question I asked myself. However, given that these essays were written (mostly) in person and from a period before ChatGPT, I would consider the essays relatively clean.

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Another question was the prompt. Could there have been instructions in the prompt or in ETS’ grading rubric that contributed to the bias from GPT4o? I think this is highly possible but ETS did not share their prompt.

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Are AI models reluctant to give high scores?

From my experience using GPT4o for AI-assisted grading, if the highest score on the rubric had too many conditions or none at all, GPT4o might be reluctant to give higher scores. Giving a full grade is riskier than giving a partial grade which is a behaviour also present in less experienced graders.

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It could also be a model-specific behaviour to err on the safe side and thus high scores are rarely given.

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This would explain why Asian students were penalized more since they usually scored higher than other racial groups on SATs.

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Now I want to dive into some internal explanations from my own anecdotal experiences

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We are taught to have a certain writing style

Very early on, as a student in China, I was taught to adhere to a distinct writing style, from sentence to paragraph to the entire essay.

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For example - “The Essay Sandwich”. You needed an introduction, at least three body paragraphs, and a conclusion. For each paragraph, you needed an opening sentence, supporting points, and a summary of the paragraph.

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The content was different but the structure stayed the same.

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We use adjectives. A lot.

I still remember my English teacher, prepping me for SATs, telling me to use adjectives whenever I could. The belief was that more adjectives showcased our vocabulary and made the essay stand out when being reviewed by the ETS grade. For example, “I still vividly remember…”.

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Funny how, from my observations, this is behaviour that GPT4o also exhibits. It sticks to specific words and it also uses adjectives a lot.

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I have a feeling that AI-detectors utilize this to a certain extent to detect AI-generated words which explains why AI-detectors have more false positives with ESL and Asian students.

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Some big takeaways
  1. AI grading is being explored by all manners of institutions and organizations but it is not without its risks.
  2. I do not believe we should use auto-grading for high-stakes assignments because of the inherent bias and hallucinations.
  3. We can still make use of AI-assisted grading tools that have guardrails in place to ensure that every assessment is reviewed by a human grader.
  4. Given the interest in AI grading, it is likely it will become an integral step in the full grading and feedback process.

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You can read the Hechinger Report on AI grading bias for more details.

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