IDEAS home Printed from https://ideas.repec.org/p/oec/govaaa/42-en.html
   My bibliography  Save this paper

Cracking the code: Rulemaking for humans and machines

Author

Listed:
  • James Mohun
  • Alex Roberts

Abstract

Rules as Code (RaC) is an exciting concept that rethinks one of the core functions of governments: rulemaking. It proposes that governments create an official version of rules (e.g. laws and regulations) in a machine-consumable form, which allows rules to be understood and actioned by computer systems in a consistent way. More than simply a technocratic solution, RaC represents a transformational shift in how governments create rules, and how third parties consume them. Across the world, public sector teams are exploring the concept and its potential as a response to an increasingly complex operating environment and growing pressures on incumbent rulemaking systems. Cracking the Code is intended to help those working both within and outside of government to understand the potential, limitations and implications of RaC, as well as how it could be applied in a public service context.

Suggested Citation

  • James Mohun & Alex Roberts, 2020. "Cracking the code: Rulemaking for humans and machines," OECD Working Papers on Public Governance 42, OECD Publishing.
  • Handle: RePEc:oec:govaaa:42-en
    DOI: 10.1787/3afe6ba5-en
    as

    Download full text from publisher

    File URL: https://doi.org/10.1787/3afe6ba5-en
    Download Restriction: no

    File URL: https://libkey.io/10.1787/3afe6ba5-en?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Peter Parycek & Verena Schmid & Anna-Sophie Novak, 2024. "Artificial Intelligence (AI) and Automation in Administrative Procedures: Potentials, Limitations, and Framework Conditions," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 8390-8415, June.
    2. Robert Muthuri & Sara Capecchi & Emilio Sulis & Ilaria Angela Amantea & Guido Boella, 2022. "Integrating value modeling and legal risk management: an IT case study," Information Systems and e-Business Management, Springer, vol. 20(1), pages 27-55, March.
    3. Lucian Cernat, 2021. "Trade policy 2.0 and algorithms: towards the "easification" of FTA implementation," CIRANO Papers 2021pe-05, CIRANO.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oec:govaaa:42-en. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/teoecfr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.