Open Public Legislative & Policy Proposals
Category: Research Integrity & Funding Governance
Classification: AI Utilization, Provenance Auditing & Capital Controls
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Title: Research Allocation Synthetic Verification Framework (RASVF)
Author: Rivkah Singh, AI Ethics Network LLC
Category: Autonomous Systems & High-Risk AI Regulation
Status: Working Standard (Version 1.1) — Open for Institutional Adoption
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Publication Notice
This document is an official working standard of AI Ethics Network LLC. It is issued for adoption, adaptation, and comment by funding bodies. It is not a statute and is not legal advice.
Summary: Institutional framework that does not ban generative tools. It bans converting unverified synthetic output into disbursed public or private capital. Establishes three-tier review: legal attestation of AI use, technical provenance and replication gates, and value-triggered unassisted technical defense, followed by milestone-gated disbursement and a verified incident registry.