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The complete library — 671 artifacts, with type, credibility, and topic filters on the results page.

Research Peer-reviewed

Parental Notification Gaps in ChatGPT-5: An Empirical Study

Empirical study of the parental-notification layer of ChatGPT's parent-linked child accounts. The authors built adversarial prompt trajectories over the API, then had trained human agents replay them in the consumer interface on a designated child account while monitoring the linked parent's inbox, measuring notification, leak-through of harmful content, overblocking of benign educational prompts and visible interface intervention across seven harm categories. They also review the public parental-control documentation of Gemini, Claude and Copilot.

Privacy violence, fraud, hate speech and malware produced no parent notifications in any of 20 sessions each, across three test windows from October to December 2025.

Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (AIES 2026); University of Texas at Austin · 11 Oct 2026 · Read the entry

Peer-reviewed & preprints

What "good" is measured against

Regulators, government & civil society

What model-makers publish

How safety gets measured

About this library

How the record is kept

671 artifacts from 553 publishers — 293 from peer-reviewed venues, standards bodies, and regulators. Every entry's primary source is fetched and verified before inclusion, graded for credibility, and preserved against link rot with an archived snapshot. Superseded versions point to their successors.

We publish this in the open — like our incident and regulation trackers — so anyone building, studying, or governing conversational AI works from the same evidence. The dataset is free to cite and export (CC BY 4.0).

Last updated 12 Oct 2026