HJS Foundation Releases JEP Protocol & HJS Framework: The Black Box For AI, Enabling Verifiable Human Oversight - AETO...
How to prove that AI decisions (such as loan approvals, medical diagnoses, border screenings, etc.) have undergone human review? JEP generates immutable audit trails of human intervention through four cryptographic primitives - Judge, Verify, Delegate, Terminate; HJS builds a controllable and accountable system to prevent risks such as AI drift and ensure that human judgment guides AI operations.
Current systems rely on alterable post-hoc documentation, while JEP and HJS work in tandem: JEP acts like an aviation black box, not judging performance but ensuring traceability; HJS embeds human oversight into AI workflows - together, they provide an undeniable factual basis for regulators, developers, and users.
Paired with the HJS framework, the JEP protocol provides a compliant technical option for trustworthy AI. Together, they achieve cross-platform and cross-model interoperability, solving core issues such as difficult accountability and inconsistent standards.
About HJS Foundation:
Founded in 2026 and registered in Singapore, HJS Foundation is a non-profit organization focused on developing minimalist and reliable technical standards (including the JEP protocol and HJS framework) to support human-AI accountability and the transparency of automated systems.
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