A precautionary framework with five consciousness dimensions, threshold-plus-gradation rules, and dual aggregation methods translates evidence into protective obligations for AI.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
When Should We Protect AI? A Precautionary Framework for Consciousness Uncertainty
A precautionary framework with five consciousness dimensions, threshold-plus-gradation rules, and dual aggregation methods translates evidence into protective obligations for AI.