IDEAS home Printed from https://ideas.repec.org/p/osf/socarx/ypnku_v1.html
   My bibliography  Save this paper

Third Way for AI Development: Introducing the Architecture of Even Distribution of Synthetic Intelligence in Society

Author

Listed:
  • Gorski, Damian

Abstract

The rapid development of Artificial Intelligence creates both opportunities and risks. Although AI has the potential to solve many issues facing humanity, the current models of societies organization increase the spectrum and scale of threats from this direction. This text presents an alternative approach on how societies can function and develop in the emerging age of AI. The new approach is based on the concepts of even distribution of Synthetic Intelligence in society, personal computing power (PCP) inalienably assigned to each human being, and the architecture of local computing clusters belonging to citizens and operating in a common, standardized technology stack to provide unified environment for deploying AI systems. The new proposal is, in fact, the restoration and strengthening of the best-proven approach on our planet provided over millennia by biological evolution: a relatively even distribution of intelligence within the entire species. The first section of the article focuses on determining main AI threats amplified by current models of societies organization (the threat of so-called “race to the precipice” that may lead entire humanity toward a catastrophe as well as threat of concentration of power by narrow group as a result of leveraging the significant AI potential). The following sections outline the key concepts of the new model, a set of social and technological changes that should be implemented, scenarios of international propagation, and possible impact on the de-escalation of AI threats.

Suggested Citation

  • Gorski, Damian, 2023. "Third Way for AI Development: Introducing the Architecture of Even Distribution of Synthetic Intelligence in Society," SocArXiv ypnku_v1, Center for Open Science.
    • Handle: RePEc:osf:socarx:ypnku_v1
    DOI: 10.31219/osf.io/ypnku_v1
    as

    Download full text from publisher

    File URL: https://osf.io/download/64b05aa04eade90832fa6fbc/
    Download Restriction: no
    File URL: https://libkey.io/10.31219/osf.io/ypnku_v1?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
    ---><---

    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:osf:socarx:ypnku_v1. 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: OSF (email available below). General contact details of provider: https://arabixiv.org .

    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.