The AI zombification of universities
Generative AI is rapidly undermining traditional university assessment, with students widely using tools like ChatGPT to complete homework, essays, and even in‑person exams, raising fears that degrees will no longer signal real competence. Commenters debate whether institutions should respond by reverting to low‑tech, proctored testing and oral exams, integrating AI explicitly into curricula, or rethinking higher education’s role as a gatekeeper of status versus a place for genuine intellectual development. Underneath the practical worries about cheating and proctoring lies a broader anxiety that both students and faculty may default to AI “slop,” hollowing out universities into expensive credential mills at a time when alternative paths like apprenticeships and self‑directed learning are becoming more viable.
Authenticity of the Essay & Writing Quality
- Several commenters debate whether the essay itself is AI-generated.
- Some see stylistic tells (em‑dashes, “purple prose”) as possible LLM output; others argue current models still lack its “melodious” style and originality.
- Consensus is inconclusive; style is viewed as a poor diagnostic for AI authorship.
What Universities Will Look Like in 10 Years
- Some expect universities to look mostly the same, with slightly stricter exam rules.
- Others think this would render them increasingly irrelevant to post‑graduation reality.
- There is curiosity about which subjects will still require in‑person teaching and what new course types might emerge.
Assessment, Cheating, and “No‑Tech” Responses
- Many propose in‑person, proctored, pen‑and‑paper exams, oral exams, and in‑class essays as robust against AI cheating.
- Homework is seen as largely compromised; suggestions include making it ungraded practice and tying grades to in‑class tests based on the homework.
- Some describe historical norms where almost all grade weight was on supervised exams, arguing AI changes little there.
- Objections: heavy testing may favor test‑taking over deep learning, and strict proctoring can become invasive or dystopian.
Credentialism, Prestige, and the Purpose of Higher Ed
- Strong view that universities’ main function is signaling/credentialing, especially at elite schools; AI threatens the credibility of that signal if assessment is compromised.
- Others argue universities should primarily teach critical thinking and support personal growth, not just job prep.
- Debate on whether degrees are already “meaningless” or still crucial as hiring filters.
- Some suggest more apprenticeships, vocational paths, and trade schools as better aligned with labor-market needs.
AI as Tool vs “Zombification”
- One camp sees AI primarily as a “slop” generator that enables low‑effort work and erodes attention spans, risking a “zombified” underclass.
- Another camp, including current students, gives concrete examples of using AI as a tutor, code assistant, and note‑cleanup tool that deepens learning rather than replaces it.
- Several argue that how AI is used (assistant vs answer‑machine) is the real fault line.
Broader Systemic Critiques
- Many note that problems (busywork homework, credential focus, shallow learning) predate AI; AI accelerates existing failures rather than creating them.
- There is concern about tying education to centralized, capital‑intensive AI infrastructure, which could further subordinate universities to external technocratic or corporate agendas.