IDEAS home Printed from https://ideas.repec.org/p/osf/socarx/ymvf5_v1.html
   My bibliography  Save this paper

Averting a Robot Catastrophe: Preparing for Converging Trends in Robotics and Frontier AI

Author

Listed:
  • Vermeer, Michael J. D.
  • Bonds, Tim
  • Lathrop, Emily
  • Smith, Gregory

Abstract

This working paper assesses the convergence of trends in robotics and frontier artificial intelligence (AI) systems, particularly the national security risk that results from the potential for the proliferation of robotic embodiments of artificial general intelligence (AGI). This paper highlights that while the benefits of advanced robotic capabilities are likely to outweigh the associated risks in many contexts, the combination of AGI with robots featuring high mobility and dexterous manipulation could introduce significant systemic vulnerabilities. Policymakers face challenges in balancing the need for safety and security with economic competitiveness, as there are no straightforward regulatory options that effectively limit risky combinations of capabilities without hindering innovation. We conclude by stressing the urgency of proactively addressing this issue now rather than waiting until the technologies are fully deployed, to ensure responsible governance and risk management in the evolving landscape of robotics and AI.

Suggested Citation

  • Vermeer, Michael J. D. & Bonds, Tim & Lathrop, Emily & Smith, Gregory, 2025. "Averting a Robot Catastrophe: Preparing for Converging Trends in Robotics and Frontier AI," SocArXiv ymvf5_v1, Center for Open Science.
  • Handle: RePEc:osf:socarx:ymvf5_v1
    DOI: 10.31219/osf.io/ymvf5_v1
    as

    Download full text from publisher

    File URL: https://osf.io/download/680a9657a1e243d00239a7a5/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/ymvf5_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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ymvf5_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.