LI Jiangqi, Beijing Normal-Hong Kong Baptist University
We are living in a time where ChatGPT, DeepSeek, and other AI models dominate every headline. As a doctoral student in Education and an administrative staff member in higher education, I can sense the growing anxiety. At academic conferences, the questions are often the same: If AI can write papers, generate code, and even pass exams, what is left for us to teach?
Many universities respond by chasing technology. They rush to launch new AI majors, hoping that technical skills alone will protect students from being replaced. Education, in this model, becomes a checklist of tools to master.
Yet, there is another path. Institutions that remain committed to “Liberal Arts” and “Whole Person Education” offer a different perspective. In an era of rapid technological change, this seemingly “retro” commitment may be precisely what students need to survive and thrive.
We must acknowledge a simple truth: traditional, content‑driven teaching is no longer effective. If students come to university just to memorize legal codes or Python syntax, they are competing with machines that will always be faster and more accurate. If education is only the transfer of information, humans have already lost.
But this moment forces us to rediscover what learning actually means. Education was never supposed to be about memorization. As Grassini (2023) argues, AI’s rise demands a shift away from content mastery toward complex, human cognitive skills.
Today, the most important human capability is not answering questions but asking them. Not memory, but judgment. These capacities cannot be developed simply through technical training—they require historical depth, ethical reflection, and broad, interdisciplinary understanding. Capacities that Liberal Arts universities are well-placed to provide.
A robust liberal arts strategy stands out precisely because it resists the rush toward narrow technical specialization. While some universities cut humanities courses to buy more processors, forward-thinking educators are doing the opposite. They are not rejecting technology, but reframing it.
When universities successfully integrate AI with the Liberal Arts, the curriculum involves the blending of technical courses with ethics, arts, and humanities. Science students study culture and humanities students work with data. This is not a contradiction—it is preparation for an age in which technology permeates every aspect of society. Instead of asking, “What will AI replace?” we should be asking, “What can AI never replace?”
There are three reasons why liberal arts education is not outdated but essential.
- We need creators and stewards, not just tool users.
AI is a powerful tool, but technical proficiency alone is not enough. As Dwivedi et al. (2023) emphasize, we need people with ethical reasoning who can see the broader consequences of technological decisions. Liberal arts equip students to guide technology, rather than be guided by it. - Critical judgment is our final defense.
AI can generate countless answers, but it cannot determine which is true, responsible, or just. In an age of synthetic content and misinformation, critical evaluation skills are more vital than ever (Bearman et al., 2023). - Whole person development is uniquely human.
Innovation is not about purchasing more devices. It is about cultivating empathy, responsibility, creativity, and emotional depth. As machines increasingly imitate human cognition, it becomes even more important for humans to nurture the qualities machines cannot replicate.
In conclusion, choosing liberal arts in the age of AI is not an act of stubbornness—it is a strategic, future‑oriented decision. We need people who can ask meaningful questions, interpret complex emotions, and lead with clarity in a data‑saturated world. No matter how advanced the next generation of AI becomes, the most valuable aspects of human civilization—our capacity for reflection, ethical reasoning, and compassion—can only be cultivated through a broad, humanistic education.
References
Bearman, M., Ryan, J., & Ajjawi, R. (2023). Discourses of artificial intelligence in higher education: A critical literature review. Higher Education, 86(2), 369-385. https://doi.org/10.1007/s10734-022-00937-2
Dwivedi, Y. K., et al. (2023). “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642
Grassini, S. (2023). Shaping the future of education: Exploring the potential and consequences of AI and ChatGPT in educational settings. Education Sciences, 13(7), 692. https://doi.org/10.3390/educsci13070692
