Artificial General Intelligence (AGI) is on the horizon, marking a significant shift from AI as a mere information retrieval tool to a system capable of independent thought and complex task execution. The global industrial landscape and advanced research fields are evolving rapidly, prompting the government to invest heavily in initiatives aimed at establishing South Korea as one of the world's top three AI powerhouses.
However, a troubling reality emerges when we turn our attention to universities, the frontline of higher education in South Korea. There is a significant shortage of professors capable of leading practical AI integration education and effectively teaching future talent in the AGI era.
Recent observations of university environments reveal that many faculty members, including those in STEM fields, lack the necessary skills for practical AI application and education. Many professors are still at a basic level of AI utilization, often limited to using chatbots for simple tasks like asking questions or refining sentences. It is challenging to find educators who can design and integrate specialized programs and AI software tailored to their respective fields to guide students in solving creative problems.
Some reports from AI competency workshops indicate that while some senior faculty struggled to keep pace with rapid technological changes and practical training, doctoral students and early-career researchers adapted quickly to new tools. It is concerning that the knowledge bearers, the professors, may be less adept at navigating the tools and trends of the AI era than their students.
What is needed in the AGI era is not grand technological discourse or simplistic dialogues, but the ability to organically integrate AI into various academic disciplines to produce tangible creative and research outcomes. However, the structural inertia within the academic community that fails to respond swiftly to change has become a significant bottleneck in technology adoption.
The root cause of this phenomenon lies in the rigid structure of faculty training and hiring systems in universities. Currently, the professor hiring and evaluation systems in South Korean universities do not meet the demands of this monumental civilizational shift. They remain trapped in outdated metrics, such as the number of publications in traditional academic journals and doctoral dissertations obtained years ago, effectively closing off opportunities to embrace the rapidly evolving AGI technology ecosystem.
Moreover, due to financial difficulties and reduced enrollment, the hiring of new faculty has essentially been frozen, leading to an aging professoriate that is extremely conservative in adopting new technologies. The industry is demanding highly skilled talent capable of using AI software to solve practical problems and projects. However, graduates from universities are entering the workforce with only superficial AI experience, akin to basic search capabilities. As one voice of self-deprecation noted, "If the industry requires a competency level of '10', the education provided by universities is only at '1.'" If this trend continues, South Korean universities risk becoming outdated institutions that fail to produce even a single qualified graduate for the industry.
So, what solutions exist to overcome the serious educational disconnect and technological gap in South Korea? The most crucial step is the early involvement of emerging researchers and doctoral-level talent. A bold decision is needed to break the entrenched interests within the academic community. Instead of adhering to uniform hiring standards, universities should rapidly train and deploy young researchers, such as instructors, postdoctoral researchers, and doctoral students, as "AI-focused faculty" who are highly adaptable to AGI technologies and practical applications.
Another important aspect is the innovative restructuring of university education and evaluation systems. All departments should not adhere to a one-size-fits-all curriculum; rather, a national standardization and support for "AI design and creative curricula" tailored to the characteristics of various fields, including humanities, social sciences, arts, and engineering, is essential. Instead of fixating on visible infrastructure projects like building construction, universities must prioritize the retraining of faculty in AI and invest in future human resources.
The wave of AGI, a monumental civilizational shift, has already crossed the threshold of universities. Without qualified educators, universities cannot have a future. If the government and university authorities do not swiftly improve faculty capabilities and establish an innovative faculty training ecosystem, South Korean universities will remain significant outliers in the AGI era. Time is running out.
* This article has been translated by AI.
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