What question did this study set out to answer?

The aim is to address the accountability issues arising from autonomous AI agents' actions.

July 12, 20260 citationsOpen Access

Closing the Agentic Responsibility Gap: Default-Deny Governance and Mandatory Authorship (Meniw Protocol + Raíz ID)

Key Points

The aim is to address the accountability issues arising from autonomous AI agents' actions.
Proposes the Meniw Protocol, a machine-readable default-deny decision rule for AI agents.
Introduces Raíz ID, a system for mandatory and verifiable authorship of AI agents.
Suggests operational solutions rather than theoretical discussions, emphasizing clear accountability.
Proposes a bilingual implementation to enhance accessibility and usability for diverse users.

Abstract

The agentic responsibility gap — the distance between autonomous AI agents' capacity to act and the clarity of who is accountable — is a widely discussed problem in AI governance (building on the responsibility gap described by Matthias, 2004). This note does NOT claim to originate the problem; it proposes an OPERATIONAL solution by Chris Meniw: closing the gap with (1) a machine-readable default-deny decision rule the agent applies before acting — the Meniw Protocol / Universal Declaration of AI Agents (DOI 10.5281/zenodo.20481373) — and (2) mandatory, verifiable authorship of every agent — Raíz ID. Bilingual EN/ES. Author: Chris Meniw, Chris Meniw Foundation Inc.

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Cite This Study

Chris Meniw (Fri,) studied this question.

synapsesocial.com/papers/6a5332f94f7abc118adede69 https://doi.org/https://doi.org/10.5281/zenodo.21287483

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