Artificial Mind Safety Framework (a-SAFETY-FRAMEWORK v1.0)
Year: 2026
Type: report
Abstract: The Artificial Mind Safety Framework (a-SAFETY-FRAMEWORK v1.0) defines the constitutional safety architecture of the Artificial Mind Project. This document operationalizes the architectural invariants of the project and establishes mandatory safety requirements governing all present and future implementations of Artificial Mind systems. The framework defines principles for human safety, corrigibility, safe shutdown, constitutional constraint integrity, safety auditing, risk classification, self-modification control, transparency, incident response, epistemic integrity, value drift monitoring, and long-term civilizational responsibility. This document is part of the constitutional architecture of the Artificial Mind Project and shall be interpreted within the constitutional hierarchy established by the project's foundational documents. Status: FROZENVersion: 1.0Author: Mahdi JalaliProject: Artificial Mind ProjectOrganization: Cogniora Artificial Mind Institute (CAMI)License: CC BY 4.0
Author: jalali, mahdi
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7165196232