UC Berkeley Math Professor Used AI to Edit Op-Ed on Student Skill Decline

A UC Berkeley mathematics professor has admitted to using artificial intelligence to help edit a published op-ed that criticized the severe decline of math skills among college students. The admission has ignited a debate over the ethics of AI usage in academic and opinion writing, particularly as the author questioned the foundational standards of her own students.

Zvezdelina Stankova, a teaching professor of mathematics at UC Berkeley, used AI to assist in editing a piece published in the San Francisco Standard. In the article, Stankova argued that many students are entering university with critical gaps in their knowledge. Specifically, she claimed that some of her math students are "five to eight years" behind and lack a middle school education in basic algebra and fractions.

The UC Math Crisis

The op-ed was written against the backdrop of a larger conflict regarding the University of California's "test-blind" admissions policy. This policy, which removes standardized tests like the SAT from the admissions process, has become a flashpoint for faculty. Stankova is among more than 1,000 UC professors who have issued warnings about a burgeoning "math crisis," arguing that the absence of standardized testing has allowed students to enter university without the necessary foundational skills to succeed in higher-level coursework.

Academic Paradox

The incident highlights a paradoxical tension within modern academia. While Stankova used her platform to lament the erosion of basic educational standards and student competencies, she utilized generative AI to polish her own professional communication. This has raised significant questions regarding the transparency of authorship and the distinction between "editing" and "authoring" in an era where AI can fundamentally alter the tone and structure of a written argument.

Future Implications

As universities continue to grapple with the integration of AI, this case serves as a catalyst for discussions on whether academic professionals should be held to different disclosure standards than their students. It remains to be seen if UC Berkeley or other UC campuses will implement formal guidelines for the use of AI in faculty-authored public commentary. For now, the situation underscores the ongoing struggle to define academic integrity as the tools for writing and learning evolve faster than the policies governing them. The tension between the demand for student rigor and the adoption of automated assistance by faculty suggests a shifting landscape where the definition of "original work" is being renegotiated in real-time across the UC system.