Abstraction as Political Act: What AI Builders Leave Unexamined

This perspective identifies abstraction as the undertheorized crux of the AI discourse — not abstraction in its narrow computer science sense (information hiding, layered interfaces) nor solely in Piaget's developmental sense (reflective abstraction as cognitive construction), but abstraction as the master process through which humans construct reality across every domain. The claim is that AI's deepest challenges are not primarily about Alignment, capability, or regulation in isolation, but about the unexamined abstractions that structure all of these conversations simultaneously.

The critique operates on three fronts. Tech developers perform abstraction constantly — selecting features, defining categories, compressing complexity into tractable models — yet lack the political literacy to recognize these as acts of power. High-level meta-theorists, who might provide the reflexive framework needed, tend to hand-wave intersectional and social dynamics because incorporating them would destabilize their clean theoretical architectures. And political actors, who understand power, rarely engage with the technical and epistemological mechanics of how abstraction actually works in system design.

What emerges is a call for abstraction to become explicit, reflexive, and socially accountable — treated not as a background cognitive operation but as a practice that demands the same scrutiny we apply to governance or institutional design. The stakes are civilizational: when abstraction remains unconscious, the blind spots it encodes don't merely persist — they get amplified through the very systems we build to manage complexity. Making the process of abstraction itself a site of critical inquiry is positioned as a precondition for building AI, education, and governance systems that don't reproduce exclusion at scale.