Claims

In the model, interventions that alter the feedback channel (verification visibility, social-proof damping) reduce overreliance and regret, while lowering verification cost alone does not lower regret

Claim · All claims
Evidence · 1 study (2 entries) · theoretical r3 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

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? Strong verification visibility (sV = 1.0) triggers a counter-cascade to near-complete verification (overreliance 0.00, verification 1.00) and lowers regret to 0.07. → Ahana Biswas 2026 q2 i? Damping social proof (ρ = 0.6) gives a partial recovery; reducing verification friction (λV = 0.05) is the weakest lever and does not lower regret. → Ahana Biswas 2026 (2)

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

Intervention simulations run in the danger zone (Low AI, hard tasks, random+tagging) against a harmful baseline of visible unverified use at s = 0.3 (Fig. 5). Making verification visible "moves the population to near-complete verification (overreliance 0.00, verification 1.00) and drives regret down to 0.07".

"makingverificationvisible (s V =1.0) triggers a beneficial counter-cascade—a mirror of the harmful one, with its own tipping point—that, under this strong setting, moves the population to near-complete verification (overreliance 0.00, verification 1.00) and drives regret down to 0.07."

Ahana Biswas 2026 (2)

Ahana Biswas. (2026). Modeling AI Overreliance as a Complex Adaptive System. arXiv. https://arxiv.org/abs/2608.19616

q2 · i? · theoretical · r3

Same intervention simulations comparing the two weaker levers. Damping social proof gives "a partial recovery (overreliance 0.39, verification 0.17, regret 0.20)", while friction reduction "lifts verification only to 0.12 and doesnotlower regret (0.24)" because cheaper checking does not counter the social pull.

"Dampening social proof (ρ=0.6) gives a partial recovery (overreliance 0.39, verification 0.17, regret 0.20). Notably, merely reducing verification friction (λV =0.05) is the weakest lever: it lifts verification only to 0.12 and doesnotlower regret (0.24)"

Discussion

Page metadata
Field Value
type claim
id verification-visibility-counter-cascade-interventions
title In the model, interventions that alter the feedback channel (verification visibility, social-proof damping) reduce overreliance and regret, while lowering verification cost alone does not lower regret
description In the model, interventions that alter the feedback channel (verification visibility, social-proof damping) reduce overreliance and regret, while lowering verification cost alone does not lower regret
status review
evidence_strength moderate
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 2 — ahana-biswas-2026, ahana-biswas-2026-2

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