| _version_ | 1866902006622322688 |
|---|---|
| author | Omai, Chidinma |
| author_facet | Omai, Chidinma |
| contents | <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">The Children's AI Harm Registry is a structured dataset documenting cases in which artificial intelligence systems caused or contributed to harm affecting people under the age of 18. To the maintainer's knowledge, it is the most comprehensive civilian-maintained dataset focused specifically on AI harms to children.</p> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">Version 1.0 contains 484 documented cases spanning 2016 to 2026 across 44 named countries plus 40 multi-jurisdictional cases. Each case is classified across 21 dimensions including AI system, harm type, severity, mechanism, safeguard failure, and legal response.</p> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">Cases carry one of two verification tiers: Verified (2+ independent sources, 31 cases) or Documented (single citable source, 453 cases). This honest evidentiary labeling is recorded per case. Upgrading documented cases to verified status is an active, ongoing priority for subsequent versions.</p> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">The registry provides an empirical, citable evidence base for researchers, policymakers, child-safety organizations, journalists, and AI developers. It is designed to sit upstream of formal AI safety and evaluation work: where internal red-teaming generates synthetic failure modes, this registry catalogues documented real-world ones with attribution.</p> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">Full methodology, inclusion and exclusion criteria, column dictionary, and known limitations are in the included README.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20346449 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | The Children's AI Harm Registry Omai, Chidinma ai safety child safety ai harms child online safety generative ai chatbots csam algorithmic harm ai accountability child protection ai governance ai ethics dataset <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">The Children's AI Harm Registry is a structured dataset documenting cases in which artificial intelligence systems caused or contributed to harm affecting people under the age of 18. To the maintainer's knowledge, it is the most comprehensive civilian-maintained dataset focused specifically on AI harms to children.</p> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">Version 1.0 contains 484 documented cases spanning 2016 to 2026 across 44 named countries plus 40 multi-jurisdictional cases. Each case is classified across 21 dimensions including AI system, harm type, severity, mechanism, safeguard failure, and legal response.</p> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">Cases carry one of two verification tiers: Verified (2+ independent sources, 31 cases) or Documented (single citable source, 453 cases). This honest evidentiary labeling is recorded per case. Upgrading documented cases to verified status is an active, ongoing priority for subsequent versions.</p> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">The registry provides an empirical, citable evidence base for researchers, policymakers, child-safety organizations, journalists, and AI developers. It is designed to sit upstream of formal AI safety and evaluation work: where internal red-teaming generates synthetic failure modes, this registry catalogues documented real-world ones with attribution.</p> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">Full methodology, inclusion and exclusion criteria, column dictionary, and known limitations are in the included README.</p> |
| title | The Children's AI Harm Registry |
| topic | ai safety child safety ai harms child online safety generative ai chatbots csam algorithmic harm ai accountability child protection ai governance ai ethics dataset |
| url | https://doi.org/10.5281/zenodo.20346449 |