Ontology as Power — Who Defines Behavioral Reality?

The politics of behavioral categorisation in AI systems

Ai governance regulation — Ontology as Power — Who Defines Behavioral Reality?
Key takeaways
  • Behavioral ontologies embed cultural assumptions that may not generalise across populations.
  • Lock-in to a proprietary ontology creates monoculture risk across all products built on the same system.
  • Open ontology standards are beginning to emerge — developers should engage with them early.
Risk signals
  • Ontology created by a homogeneous team without cross-cultural review.
  • No mechanism to flag when engines diverge in their use of ontological concepts.
  • Ontology is proprietary with no disclosure pathway.
Action items
  • Include cross-cultural review in ontology evolution processes.
  • Implement the adaptive ontology divergence engine to detect semantic drift.
  • Consider contributing domain-specific ontological definitions to open standards bodies.

A behavioral ontology decides what concepts exist, how they are defined, and which cultures they assume. The team that writes the ontology defines the system's model of human behaviour. That is a political act as much as a technical one.

Key Analysis

Behavioral ontologies embed cultural assumptions that may not generalise across populations. Lock-in to a proprietary ontology creates monoculture risk across all products built on the same system. Open ontology standards are beginning to emerge — developers should engage with them early.

Risk Signals

Ontology created by a homogeneous team without cross-cultural review. No mechanism to flag when engines diverge in their use of ontological concepts. Ontology is proprietary with no disclosure pathway.

Action Items

Include cross-cultural review in ontology evolution processes. Implement the adaptive ontology divergence engine to detect semantic drift. Consider contributing domain-specific ontological definitions to open standards bodies.

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