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The reviewer's draft is the bones; this is the full version. The About section is the page's permanent identity statement — every visitor sees it before anything else. It should carry the project's full framing without being so long it reads as marketing copy. GitHub repository: https://github.com/code-after/code-after.github.io About — recommended Code After AI is a research programme on how artificial intelligence is reshaping the institutions that govern modern life — law, accounting, language, education, work, evidence, measurement, and jurisdiction. AI is not only a technological development. It is an institutional rupture, changing how rules are written, how value is measured, how responsibility is assigned, how evidence is produced, how work is organised, and how public authority is exercised — faster than the institutions designed to govern these things can adapt. The foundational manuscript, Code After: Law, Accounting, and the Governance of Artificial Intelligence (v0.9, April 2026), is published open access on Zenodo. The Code After Series — six papers over twenty-four months, each extending the framework into a further institutional domain — opens with Code After Language in September 2026. All works are open access, published in English and Chinese simultaneously, with additional language editions produced through partnership. Written for citizens, professionals, policymakers, and the institutions that serve them — especially those confronting AI's consequences without having shaped its dominant architectures. codeafter.ai · partners@codeafter.ai

Website https://codeafter.ai
Employees 2 (1 on RocketReach)
Founded 2024
Industry Research Services

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Richard Yan is the Founder and Lead Author of Code After AI.

1 people are employed at Code After AI.

Code After AI is based in New York, New York.

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