Claims

Children were split about confiding in the chatbot, with about half willing to share secrets or ask advice and half not

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2025 · 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? Post-survey responses showed roughly half of children willing to confide in AMA and half not, reflecting varied caution toward AI. → Saniya Vahedian Movahed and Fred Martin 2025

Evidence

Saniya Vahedian Movahed and Fred Martin 2025

Saniya Vahedian Movahed and Fred Martin. (2025). Ask Me Anything: Exploring children's attitudes toward an age-tailored AI-powered chatbot. arXiv. https://arxiv.org/abs/2502.14217 doi:10.48550/arxiv.2502.14217

q2 · i? · design · r2

In the post-survey of the school study, children were asked whether they would tell AMA a secret or ask its advice; "about half being willing to confide in it and half not", with 7th graders' responses ranging from distrust to openness.

"Children showed more caution towards AMA, with about half being willing to confide in it and half not (Figure 9)."

Discussion

Page metadata
Field Value
type claim
id children-split-on-confiding-in-chatbot
title Children were split about confiding in the chatbot, with about half willing to share secrets or ask advice and half not
description Children were split about confiding in the chatbot, with about half willing to share secrets or ask advice and half not
status review
evidence_strength moderate
newest_evidence 2025
generated by process:wiki-ingest on 2026-10-12
trust unverified — no one has confirmed this page's content
sources 1 — saniya-vahedian-movahed-and-fred-martin-2025

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