quartz/content/Misc/ai-integrity.md
2024-10-03 12:36:08 +10:00

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---
title: Academic Integrity and AI
tags:
- ai
- misc
- seedling
date: 2024-09-14
lastmod: 2024-09-14
draft: true
---
Recent studies reveal that the use of AI is becoming increasingly common in academic writings. On [Google Scholar](https://misinforeview.hks.harvard.edu/article/gpt-fabricated-scientific-papers-on-google-scholar-key-features-spread-and-implications-for-preempting-evidence-manipulation/), and on [arXiv](https://arxiv.org/abs/2403.13812); but most shockingly, on platforms like Elsevier's [Science Direct](http://web.archive.org/web/20240315011933/https://www.sciencedirect.com/science/article/abs/pii/S2468023024002402) (check the Introduction). Elsevier supposedly prides itself on its comprehensive review process, which ensures that its publications are of the highest quality. More generally, the academic *profession* insists that it possesses what I call integrity: rigor, attention to detail, and authority or credibility. But AI is casting light on a greater issue: **does it**?
## What is integrity?
==specific aspects I can talk about in the framings==
## Competing framings
I think there are two ways of framing the emergence of the problem.
### 1: Statistical (not dataset) bias and sample size
The first framing is simple proportionality. Journal submission numbers have increased rapidly in the past few years: [atherosclerosis](https://www.atherosclerosis-journal.com/article/S0021-9150(13)00456-5/abstract)
![[Attachments/papers.png|graph showing almost an exponential trend in paper submission from 1970 (about 5 million) to 2013 (over 40 million).]]
I'm not interested in doing the statistical analysis (especially because it would probably require creating a quantitative analysis metric for integrity, which I super don't want to spend time on), but this is just one hypothesis.
==barriers to access broken by AI==
### 2: We've Always Done It This Way
And second, which I find more persuasive (but shocking), is the question: has it just always been like this?
==is the thought of academic integrity just a facade meant to preserve the barriers in the first reading? Detail requires (paid) time, intellectual rigor requires education, credibility requires experience and access to information...==
## Further Reading
In my view, a critical component of academic or purportedly informative works is the establishment of authority/credibility in a way that's verifiable by other people. I have an incomplete [[Essays/plagiarism|essay on plagiarism]] where I explore this facet of academic integrity.
I subscribe to a style of writing called "academ*ish*" voice on this site, documented by [Ink and Switch](https://inkandswitch.notion.site/Academish-Voice-0d8126b3be5545d2a21705ceedb5dd45). Pointing out all the ways that even this less-rigorous style is fundamentally incompatible with AI-generated text is left as an exercise for the reader.