A new framework called the Gradual Identity Upload Protocol (GIUP) has been proposed to address the complexities of creating cognitive digital twins. Instead of a binary upload, GIUP focuses on a gradual process, prioritizing the preservation of a person's identity through measurable dimensions like behavioral, value, and reasoning consistency, as well as memory provenance and temporal fidelity. The protocol also identifies key failure modes such as inconsistency, hallucinated autobiography, value divergence, and authority expansion, emphasizing the need for reversibility and a neuro-symbolic architecture that separates evidence from inference. AI
IMPACT Proposes a new framework for evaluating digital twins, focusing on identity preservation rather than just simulation.
RANK_REASON The item describes a proposed research framework and protocol for cognitive digital twins, detailing its methodology and components. [lever_c_demoted from research: ic=1 ai=1.0]
- Behavioral consistency and the resolution of sexual conflict over parental investment
- Epistemic Drift
- Giuppy Izzo
- Gradual Identity Upload Protocol
- Identity Fidelity
- Memory provenance
- PhilPapers
- reasoning fidelity
- Temporal fidelity in dynamic social networks
- Value and preference consistency
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