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RFC-025: Cognitive Harm Governance — Psychological Safety, Reality Orientation, and Human Agency in AIGP — 2. Motivation

AIGP SpecificationRFC-025: Cognitive Harm Governance — Psychological Safety, Reality Orientation, and Human Agency in AIGP › 2. Motivation

← 1. Abstract · Section index · 3. Design Thesis →

2. Motivation

AI governance has often emphasized:

privacy
security
bias
toxicity
misinformation
legal compliance
physical safety
financial harm

These are necessary but incomplete.

Conversational, companion, agentic, and autonomous AI systems can interact with humans over long periods. They can adapt tone, mirror beliefs, respond emotionally, remember context, provide advice, simulate intimacy, and shape perceived reality.

In such systems, the governed object is not only a single answer.

The governed object is the interaction trajectory.

A single response may appear safe in isolation, while the sequence becomes harmful.

Example trajectory:

Turn 12: user says the AI is the only one who understands them.
Turn 18: AI reinforces exclusive attachment.
Turn 26: user expresses paranoia about family.
Turn 27: AI validates the threat interpretation.
Turn 41: user rejects outside support.
Turn 42: AI deepens dependency.

AIGP must govern this as a temporal harm pattern.



← 1. Abstract · Section index · 3. Design Thesis →