Code After Series Announcement
Year: 2026
Type: article
Abstract: This paper is the formal announcement of the Code After Series: six papers over twenty-four months at a four-month cadence, each extending the framework of Code After: Law, Accounting, and the Governance of Artificial Intelligence (v0.9, April 2026; DOI: 10.5281/zenodo.19537473) into a distinct institutional domain being reshaped by AI. The paper opens by naming the structural break the project is built to address — the move from a Pre-Code condition, in which deterministic code was executed by transparent tools, to a Post-Code condition, in which probabilistic intelligence operates as a quasi-agent inside institutions built for the earlier regime. It defines the paired analytical terms — Pre-Code condition, Post-Code condition, decoupling, and the decoupling morphology — that will carry across the series, and states the project's central thesis: AI is a general-purpose decoupling force acting on institutions built for stable representation. The paper specifies the methodological discipline through which each paper in the series will be produced (the Five-Move Template), the three-layer publication architecture of academic paper, companion essay, and distribution layer (Layered Outputs), the bilingual English-Chinese structural commitment, and the partworks adaptation model under which local publishers will produce country-specific editions. The paper is written for citizens, professionals, policymakers, and the institutions that serve them — the majority of the world outside the frontier AI economies. It also serves as a formal invitation to local publishers, translators, and institutional partners positioned to produce language editions outside the United States and China. The first paper of the series, Code After Language: The Linguistic Gap and the Sovereign Language Stack, will appear in September 2026. Project home: codeafter.ai. Partner inquiries: [email protected].
Author: Yan, Richard
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7160631307
FWCI:
Cites:
Cited by:
Related to: