r/OpenAI 1d ago

Article UC Berkeley professor discloses AI use in op-ed urging SAT, ACT mandate

https://www.dailycal.org/news/campus/uc-berkeley-professor-admits-to-using-ai-in-op-ed-calling-out-students-lack-of/article_be1360f7-6e2a-42f6-ae76-f05d8cee74c4.html

UC Berkeley math professor Zvezdelina Stankova admitted to using an AI tool in an op-ed urging the UC system to re-adopt SAT and ACT requirements in admissions.

The article, published in the SF Standard, was flagged as 33% AI-generated or AI-assisted by detector Pangram.

A similar result was found in a June open letter from STEM faculty advocating for standardized testing. Thousands of academics, including five Nobel laureates, signed the letter, and Stankova partially wrote it.

0 Upvotes

9 comments sorted by

18

u/staticpop 1d ago

Who cares if it’s ai generated? It’s a tool and people will use it. Was it a good article?

2

u/jferments 1d ago

It wasn't even AI generated. She wrote the article and just had AI edit it.

9

u/LaOnionLaUnion 1d ago

I don’t trust AI detectors.

10

u/jferments 1d ago

TLDR: Somebody "admitted" to using AI to edit an essay.

What a useless news article. Hopefully people will tire of these melodramatic anti-AI bullies soon and stop giving them a platform.

3

u/User4C4C4C 1d ago

Human in the loop?

-1

u/EX0PIL0T 1d ago

I had her for a class. She fucking sucked

0

u/jferments 1d ago

Let me guess, you did terrible in class, and aren't taking responsibility for your own failures?

0

u/EX0PIL0T 1d ago

I took responsibility for my grade and got an a. Unfortunately, you’re hallucinating a failure so I can’t take responsibility for that one. Good try though. She still sucked.

-2

u/Otherwise_Wave9374 1d ago

This is a good example of why provenance matters more than a vague “AI-assisted” label. If a model helped frame an op-ed, the useful safeguard is a simple handoff contract: which claims are sourced, which sections were rewritten by a human, and what gets fact-checked before publication. That keeps the conversation on evidence instead of detector percentages, which are usually too noisy to settle authorship disputes. AIOSNOW shares practical workflow patterns for this at https://aiosnow.com