Beyond Alignment: Representational Ethics and the Governance of Constructed Worlds

Much of the ethical debate about artificial intelligence turns on a single question: do AI systems behave in line with human preferences, norms, or regulation? This question has primarily been the focus in AI ethics. This paper offers a conceptual and philosophical contribution. Here we give an alternative basis for AI ethics by evaluating the role technology plays in building and stabilising worlds of meaning. Experience is modelled as passing through nested representational layers: the world W, the screen of perceived reality W′ on which agents encounter and interpret the world, and the artificial screens W′′ built by digital platforms, recommender systems, and immersive environments. Meaning is formed, held, and acted on within a minimal cycle of perception, integration, and action. On that basis, many familiar ethical problems around AI show up less as simple failures of behaviour or compliance and more as breakdowns in semantic coherence i.e. in the preservation of meaning along the chain W → W′ → W′′. Fairness, transparency, accountability, privacy, and safety are recast as aspects of these deeper coherence conditions, not as free-standing technical or policy goals. We derive a four-level hierarchy of ethical depth (L0 - L3) and sketch governance aimed at the integrity of constructed worlds, with consequences for how risk, responsibility, and regulation are conceived when technological mediation is everywhere.