Humanizing AI

 

                                              (image: youtube.com)

Pati pagbati, AI na!

There was music playing that suddenly caught my attention: a cover of Sharon Cuneta’s “Bituing Walang Ningning.” It was sung so beautifully, so smoothly, like butter melting on warm skin. Curious, I searched for the source and discovered an entire trove of covered OPM songs. Each one was impeccable. The pitch, the phrasing, the musicality, almost disturbingly perfect.

Then it struck me: why the perfection?

That was the moment of realization. These songs were not performed by human voices but generated through Artificial Intelligence. And just like that, my senses were thrown into disarray. If music, once the most intimate expression of human emotion, can now be replicated with such precision, what does that mean for performance, for artistry, for authenticity?

Music is being quietly invaded by AI, and the unsettling question lingers: what’s next?

This unease is mirrored in education. There is a growing trend among universities and higher education institutions to administer examinations and assessments in oral form. This shift aims to assure professors that the ideas, insights, and reasoning being presented genuinely originate from the learners themselves rather than from AI-generated engines. By foregrounding spontaneous articulation, critical thinking, and real-time reasoning, oral assessments attempt to reclaim authenticity in an era increasingly shaped by artificial intelligence.

Of course, we appreciate AI. It relieves us of tedious tasks, and the very intention behind its invention, to make work easier and more efficient, is a gift in itself. However, when people begin to allow AI to think on their behalf, when learners merely type prompts to generate answers without engaging in understanding, reflection, and intellectual struggle, the narrative changes entirely. At that point, convenience risks replacing learning, and assistance quietly turns into dependency.

This concern is not merely personal but scholarly. While artificial intelligence offers significant support in streamlining academic tasks, researchers caution that its uncritical use may undermine deep learning and cognitive engagement. When learners rely excessively on AI-generated outputs, they risk bypassing essential processes such as critical thinking, synthesis, and conceptual understanding. Rather than serving as a scaffold for learning, AI may become a substitute for intellectual effort if not guided by pedagogical frameworks that foreground human agency, reflection, and ethical use (Kasneci et al., 2023).

Music, education, and even laboratory results are now being uploaded into AI engines for analysis and interpretation. While these technologies offer speed and efficiency, they also pose a quiet threat when dependence begins to replace discernment and judgment. This reality calls for a critical discourse that moves toward humanizing AI, where technology remains a tool guided by human ethics, intention, and responsibility. In the end, it must still be people who decide, question, and think, not the other way around.

The moment we stop thinking because machines can, we begin forgetting what it means to be human.