René Kizilcec

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René Kizilcec

René Kizilcec

@whynotyet

Associate Professor of Information Science @Cornell; Education, Technology, AI/ML, Fairness/Equity. Opinions are my own.

Ithaca, NY Katılım Nisan 2009
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AIDB
AIDB@ai_database·
コーネル大学の調査によると、低所得層の高校生ほどAIを使って大学出願の小論文を書くようになっており、それが合格に与える”ダメージ”が大きいとのこと。 AIを使えば文章の質は表面上は上がりますが、審査官はそれを「この学生らしくない」と受け取ることがあるためと考えられています。 今回研究者らが8万1千件以上の大学入試の小論文を分析したところ、ChatGPT登場後、低所得層の学生ほどAIに頼る割合が高くなっていました。これは理にかなっており、家庭教師や塾よりAIのほうが安価だからです。 ところが、AIを使った低所得層の出願者と同じ学力・属性の高所得層を比較すると、審査結果の格差は以前より31%も広がっていました。 なぜそうなるのか、実際は研究者たちも明確な答えは出せていませんが、AIが生み出す「うまい文章」は、文化資本を持つ人々の言葉のクセに基づいており、その規範に沿って書けば書くほど、規範から遠い学生が「不自然だ」と判断されてしまう構造になっているためと推測されています。 ということは、格差はAIを使った結果を評価する側の眼差しに宿っていることになります。そこが深いポイントです。
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René Kizilcec@whynotyet·
Excited to be at #lak2025 check out Kimberly Williamson’s paper today at 10:20 on Algo Appreciation among Educators! Happy to chat about the National Tutoring Observatory— we are hiring a postdoc and Asst Research Prof. nationaltutoringobservatory.org
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AJ Alvero
AJ Alvero@aj_alvero·
Sharing a paper just published in the Journal of Big Data! Studies have shown strong associations with writing and demography, so here we ask "who do LLMs write like?" Answer: higher social status people (with some caveats) BUT with very little variance link.springer.com/article/10.118…
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René Kizilcec@whynotyet·
@michael_muller We have not tested this but yes, you could ask the model to answer like a person on one part of the country and see how much information is needed to get the responses aligned. A benchmark dataset would be needed to evaluate alignment.
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René Kizilcec@whynotyet·
In addition to showing the cultural bias in GPT’s responses, we demonstrate a simple but effective control strategy to improve cultural alignment: cultural prompting, I.e. instructing the model to respond like someone from your region. It works best for the latest versions.
PNAS Nexus@PNASNexus

Researchers concerned about cultural bias in large language models asked ChatGPT questions about values used in international surveys. All versions of the model answered like people in English-speaking and Protestant European countries. In PNAS Nexus: ow.ly/4Oy350Trj4S

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PNAS Nexus
PNAS Nexus@PNASNexus·
Researchers concerned about cultural bias in large language models asked ChatGPT questions about values used in international surveys. All versions of the model answered like people in English-speaking and Protestant European countries. In PNAS Nexus: ow.ly/4Oy350Trj4S
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Karen Levy
Karen Levy@karen_ec_levy·
Returning from perpetual Twitter hiatus to spread the word: @CornellInfoSci is hiring! Tenure-track hires at all levels in Ithaca, focusing on qual/interpretive methods, CSS/quant approaches, study/design of human/AI interactions. Review starts 11/10: academicjobsonline.org/ajo/jobs/28405
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