In the model, topology shifts aggregate reliance only under opinion dynamics, when influential hubs transmit correlated beliefs that move agents across the verify/use margin¶
Claim · All claims
Evidence · 1 study · theoreticalr3·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: tool and model accuracy changes quickly
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Under experience-based learning, even extreme high-trust hubs leave the aggregate at baseline. → Ahana Biswas 2026
Evidence¶
Ahana Biswas 2026¶
Ahana Biswas. (2026). Modeling AI Overreliance as a Complex Adaptive System. arXiv. https://arxiv.org/abs/2608.19616 doi:10.48550/arxiv.2608.19616
q2 · i? · theoretical · r3
Same boundary experiment under experience-based learning, where neighbors' outcome signals are exchangeable. Even extreme high-trust hubs "leave the aggregate at baseline (consensus trust 0.516 vs. 0.513; overreliance 0.313 vs. 0.303)".
"Under experience-based learning, even extreme high-trust hubs leave the aggregate at baseline (consensus trust 0.516 vs. 0.513; overreliance 0.313 vs. 0.303)—experiential grounding re-anchors everyone to the environment."
Discussion¶
Related Claims¶
- Social Learning Consensus Not Aggregate Overreliance
- In the agent-based model, task difficulty and AI quality set the baseline level of overreliance, with difficulty the dominant global factor — related
- In the model, visible unverified peer use (social proof) suppresses verification and tips the population into collective overreliance, via a smooth crossover with no hysteresis — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
opinion-dynamics-hubs-shift-consensus-trust |
title |
In the model, topology shifts aggregate reliance only under opinion dynamics, when influential hubs transmit correlated beliefs that move agents across the verify/use margin |
description |
In the model, topology shifts aggregate reliance only under opinion dynamics, when influential hubs transmit correlated beliefs that move agents across the verify/use margin |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
recheck_by |
2029 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — ahana-biswas-2026 |
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