Broadcasting regulators — Ofcom, ARCOM, ACMA, and equivalents worldwide — face the challenge of developing minimum AI fact-checking standards that are technologically credible, proportionate to risk, and practically enforceable. Omniscient AI's multi-engine consensus methodology provides regulators with a technically sound, publicly transparent reference methodology that can inform standards without specifying particular tools.
Standards Development Contributions
Omniscient AI contributes to broadcasting standards development through: evidence provision (accuracy data showing how multi-engine verification improves factual accuracy rates), methodology consultation (explaining how the three-engine system works in plain language for regulatory staff), proportionality analysis (demonstrating cost per article at different verification depths to support proportionate requirements), and post-implementation reporting (providing accuracy outcome data from regulated broadcasters that adopted Omniscient AI to demonstrate real-world standards compliance).