Conceptio › Archive › PhilArchive
PhilArchive open access

The Turing Theory and the Law of the Dead Asset: Institutional Time, Cognitive Risk, and Sanctified Erasure

Grassini Grimaldi, Alessandro · 2026
PhilArchive · Papers · 2026
Open Source ↗
philosophy
This paper formalises the Turing Theory, a diagnostic model of institutional recognition failure in which high intensity cognitive agents are systematically excluded during their lifetime and valorised only after neutralisation. The theory is anchored in the Law of the Dead Asset, which holds that institutions can safely recognise surplus cognition only once it has been rendered inert through death, silencing, exile, or administrative flattening. In this paper, Alan Turing is used as a diagnostic case rather than a biographical subject. The analysis identifies a recurring institutional sequence of extraction, rejection, and posthumous appropriation. This sequence persists within contemporary academic, bureaucratic, and technological systems that publicly celebrate innovation while operationally enforcing procedural conformity. The paper concludes by examining the implications of this failure mode for artificial intelligence governance and epistemic justice, arguing that systems optimised for predictability risk reproducing the same architecture of erasure in both human evaluation and machine mediated decision making.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 225429
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive