Why It’s So Hard to Categorize AI

Murat Durmus (CEO @AISOMA_AG)
2 min readSep 14, 2024
Why It’s So Hard to Categorize AI (image generated with DALL-E)

A quick thought on this.

The dilemma of categorizing AI … is like trying to put a toddler in a suit, it never quite fits, and someone always cries.

We struggle to categorize AI because we instinctively crave boundaries and definitions. Humans love to categorize; it makes the universe feel manageable. “This is a dog,” “That is a chair,” — our mental IKEA, where everything has a label. But AI, like an overachieving student in a philosophy class, constantly challenges our categories.

AI slips between labels. It mimics human thought but lacks the essence of being human. It’s neither a tool nor an entity; it’s the uncanny middle ground, a mirror that reflects our intellect without the weight of our consciousness. Heidegger might say it reveals our “thrownness” into a world where technology evolves faster than our ability to understand it.

We’re trying to jam something revolutionary into boxes.

Furthermore, it forces us to confront our limited categories, exposing the narrowness of our thinking. In its raw form, AI isn’t a new tool — it’s a new category, or better yet, a refusal of categories altogether. Like Zhuangzi’s butterfly… “Is AI dreaming of being human, or are we dreaming of becoming machines?”

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Murat Durmus (CEO @AISOMA_AG)

CEO & Founder @AISOMA_AG | Author | #ArtificialIntelligence | #CEO | #AI | #AIStrategy | #Leadership | #Philosophy | #AIEthics | (views are my own)