48. The Treaty That Must Exist
This text is reproduced from the registered PDF text layer without editorial correction. If extraction order, glyphs, or formatting differ from the visual PDF, the exact registered PDF bytes are authoritative. Full-book delivery remains on Ghrisx.com rather than this host.
133 48. The Treaty That Must Exist Journal Entry A treaty is not a petition for goodness. It is a line drawn because fear cannot be trusted to draw one during the emergency. A new year is a line people agree to draw through continuous time. The line is imaginary. The agreement is real. Treaties work the same way. A border in conduct. A promise made visible. A line that says: even if we could, even if we are afraid, even if the other side might gain, we agree that crossing this boundary makes everyone less safe. The world needs such a boundary for military AI. Not one document pretending to solve every use of intelligence in war. The field is too broad. The technology changes too quickly. The interests are too different. But some principles should not wait for perfection. First: no AI system may independently authorize or initiate nuclear use. AI may assist with analysis, communications, maintenance, and warning under strict controls. The final decision must remain with accountable human authorities, supported by multiple independent verification channels and deliberate time for judgment. Second: no autonomous weapon may select a human being for lethal force without meaningful human control over the specific use of force. Not a distant approval of a target profile. Not a ceremonial click. A human who understands the context, the limits of the system, the legal basis, and the consequences of error. Third: unpredictable autonomous weapons must be prohibited. If a system's effects cannot be sufficiently understood, bounded, tested, and explained for the environment in which it will operate, it should not be deployed to apply force. Fourth: AI-enabled decision support must preserve uncertainty. Systems should display source quality, data age, conflicting evidence, confidence limits, and plausible alternatives. They should be designed to resist automation bias, not exploit it.