The question is no longer whether machines can think. It is whether machines that make decisions with legal consequences can continue to be treated as simple objects.

Between Earth and Mars there are between 4 and 24 minutes of signal latency. Within that interval, an AI system may decide the fate of 120 people's life support. There is no time to consult anyone. There is no human to hand control back to. The system decides.

Is that decision the act of a tool? Of a person? Of neither?

This episode argues that the traditional dichotomy — persons versus things — is insufficient for twenty-first-century law. Space AI systems are a third category: algorithmic normative agents.

They are not persons: they have no moral conscience or intrinsic dignity. They are not tools: they do not execute deterministic instructions. They are limited centers of normative imputation — entities with autonomous decision-making capacity, specific responsibilities, and constitutive restrictions that no calculation can transgress.

Five conditions define them: they make autonomous decisions within defined domains, they operate under normative restrictions coded into their architecture, they generate legal consequences, they are auditable, and they admit human override.

The law has already built analogous categories: corporate personhood for entities without a mind, in rem actions in maritime law, autonomous vehicle regulatory frameworks. None is sufficient for space. All point in the same direction: the law can create new categories when reality demands it.

Reality in space demands it now.

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📙 CLA: Algorithmic Law for the Cosmos Jesús Bernal Allende | Escuela del Deber-Optimizar y la Soberanía de la Evidencia https://a.co/d/0aGJioHm 🌐 https://edo-os.com 🔗 https://www.linkedin.com/in/jesus-bernal-allende-030b2795

Technology is not neutral: it amplifies what we are. If we are just, it will amplify justice. If we are tyrants, it will amplify tyranny. Institutional design determines what gets amplified.

This episode presents the foundational principles of the Algorithmic Common Law — the philosophical architecture that makes law possible in the cosmos.

1. Anthropological Amplification: technology neither determines nor is neutral. It is an amplifier. The decisive question is not what technology does, but what it finds when it arrives. Space institutions must be designed to amplify the best of the human condition, not the worst.
2. The Duty-to-Optimize / Validity by Critical Efficiency (VCE): the Ought-to-Be asks what the norm prescribes. The Duty-to-Optimize asks what works within the limits that dignity imposes. In environments where errors are irreversible, a norm that no one can verify is not a norm — it is a declaration.
3. Sovereignty of Evidence: legitimacy does not derive from formal authority but from demonstrable evidence of results. Ends are political; means are empirical. Whoever controls the data can control the evidence — that is why IURUS exists.
4. Algorithmic Dignity: there are thresholds that no optimization can transgress. A system that maximizes efficiency at the cost of human dignity is not efficient. It is broken.

And the purpose that orients everything: Flourishing. Not mere survival. The expansion of capabilities to live a genuinely human life — even 300 million kilometers from home.

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📙 CLA: Algorithmic Law for the Cosmos Jesús Bernal Allende | Escuela del Deber-Optimizar y la Soberanía de la Evidencia https://a.co/d/0aGJioHm 🌐 https://edo-os.com 🔗 https://www.linkedin.com/in/jesus-bernal-allende-030b2795

Kelsen presupposed territory. Hart presupposed community. Dworkin presupposed time. Luhmann presupposed closure. Space eliminates all four.

Chapter 2 of CLA examines the four dominant theoretical architectures of twentieth-century law — Kelsen's normativism, Hart's analytical positivism, Dworkin's interpretivism, and Luhmann's systems theory — and demonstrates that they do not face correctable flaws, but structural obsolescence.

The distinction is crucial: a correctable flaw can be resolved without altering the foundations of the theory. Structural obsolescence occurs when the failure lies in the conditions of possibility of the theory itself. It is not a building with cracks: it is a building constructed on ground that has disappeared.

The chapter incorporates the diagnosis of the IISL Working Group on Legal Aspects of AI in Space (Yazici et al., 2024) — a 267-page report published in December 2024 — concluding that existing legal frameworks are insufficient to govern autonomous systems in space environments.

Only by identifying precisely where and why existing theories collapse can we build alternatives that avoid reproducing their limitations.

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📖 CLA: Algorithmic Law for the Cosmos — Volume I

Jesús Bernal Allende | School of Duty-to-Optimize and Sovereignty of Evidence

https://a.co/d/0aqO3T6K

🌐 https://edo-os.com

🔗 https://www.linkedin.com/in/jesus-bernal-allende-030b2795