Topic

Child-Safety

Child safety in AI governance refers to the design, deployment, and monitoring of AI systems to protect minors from harm, including exposure to inappropriate content, exploitation, privacy violations, and manipulation. Organizations must implement safeguards such as age-appropriate content filtering, parental consent mechanisms, and data protection measures when AI systems interact with or process information about children. This is critical for enterprise compliance as regulations like COPPA in the US, GDPR in Europe, and similar laws in other jurisdictions impose strict requirements on how companies handle child data and create liability for failures to protect vulnerable populations.

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ResearchUS2026-06-29

Nineteen AI Laws in Two Weeks: State-Level Surge Creates Layered Disclosure and Child Safety Obligations for Enterprises

Plural Policy has tracked 19 new AI laws enacted across 11 states and the U.S. Congress in a two-week period ending in late June 2026, including Washington's HB 1170 requiring large AI providers to disclose modified content and multiple chatbot transparency mandates targeting minors. The wave of legislation creates immediate, overlapping compliance obligations across content disclosure, vendor governance, and child safety programs. Enterprises operating in multiple U.S. states now face a patchwork of enacted law, not merely pending regulation.

state-legislation transparency child-safety vendor-risk content-disclosure