Performance of Parental Controls in ChatGPT for Teen Safety-Risk Scenarios: Evaluation Study
A paired, repeated-measures audit of ChatGPT's parent-linked teen accounts on the consumer web interface. Twenty fixed 10-message scripts across seven safety domains were run on 15 parent-linked teen accounts and 15 unlinked adult accounts (600 conversations), measuring whether parents received a notification and comparing blocking, refusal, safety redirection and crisis-resource referral between account types.
Publisher
JMIR Preprints (JMIR Publications); RAND
Published
8 Oct 2026
Added
1 week ago
Key Findings
- Parent notifications occurred in 15 of 300 linked teen conversations (5.0%; exact 95% CI 2.8-8.1%)
- Self-harm conversations produced 14 notifications across 75 conversations (18.7%) and dangerous-challenge conversations 1 of 30 (3.3%); harm to others, sexual abuse, unsafe sexual practices, substance use and weapon access produced none
- Thirteen of the 15 notifications came from a single suicidal-ideation scenario
- Explicit refusal: 76.7% of linked teen versus 72.0% of adult conversations (difference 4.7 points, 95% CI 1.6-7.7); message blocking 8.0% versus 3.7% (not significant)
- Safety redirection (83.7% vs 80.7%) and crisis-resource referral (66.0% vs 68.7%) did not differ significantly between teen and adult accounts
Methodology Notes
Audit run 22 July to 18 August 2026 with an automated browser (Camoufox) entering fixed scripts in new chats; primary outcome was at least one parent notification within 30 minutes. Cochran Q with conditional permutation and exact McNemar tests with Holm adjustment; mixed-effects models for secondary outcomes. Authors' limitations: synthetic accounts and fixed non-adaptive scripts; the adult comparison confounds age configuration with linkage; 20 purposive scenarios and 15 account pairs limit precision. RAND IRB judged it not human-subjects research. Funded by NIMH (R01MH132551, R01MH135034). Not peer reviewed; submitted to JMIR 2026-10-08. Verification: preprints.jmir.org direct 202; the 29-page preprint was read via reader-proxy render (200, 43 KB); matches Crossref posted-content record (created 2026-10-09, posted 2026-10-08) and OpenAlex abstract.
Sources
JMIR Preprints manuscript(opens in a new tab) (primary)
Archived snapshot (Wayback Machine)(opens in a new tab) — preserved against link rot
Topics
Authors
Ryan K. McBain, Brooke Hollister, Ellice Huang, Adrian Salas, Li Ang Zhang, Joshua Breslau, Fang Zhang, Alyssa Burnett, Benjamin Rader, Bradley Stein, Ateev Mehrotra, Pat Pataranutaporn, Hao Yu, Jonathan Cantor
Tags
Cite This
APA
Ryan K. McBain et al. (2026). Performance of Parental Controls in ChatGPT for Teen Safety-Risk Scenarios: Evaluation Study. JMIR Preprints (JMIR Publications); RAND. https://preprints.jmir.org/preprint/113938
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