IDEAS home Printed from https://ideas.repec.org/a/ibn/ilr123/v14y2025i1p192.html

Constructing an Ethical Normative System for International Trade towards Trustworthy Artificial Intelligence

Author

Listed:
  • Pu Zhao

Abstract

This study proposes a comprehensive ethical framework to govern the development and deployment of artificial intelligence (AI) in international trade. The framework integrates insights from multi-stakeholder engagement, risk assessments, and existing ethical guidelines. It establishes five core ethical principles- fairness, privacy, transparency, accountability, and human values promotion. Operational guidelines and processes are provided to operationalize these principles across the AI system lifecycle, including risk mitigation protocols, impact assessments, stakeholder governance mechanisms, and capacity building provisions. The framework aims to foster responsible and trustworthy AI applications in international trade while addressing potential challenges such as balancing interests, cultural variations, resource constraints, and technological evolution. By proactively addressing ethical considerations, the framework represents a crucial step towards unlocking AI's transformative potential in international trade while safeguarding fundamental ethical tenets and societal interests.

Suggested Citation

  • Pu Zhao, 2025. "Constructing an Ethical Normative System for International Trade towards Trustworthy Artificial Intelligence," International Law Research, Canadian Center of Science and Education, vol. 14(1), pages 192-192, October.
  • Handle: RePEc:ibn:ilr123:v:14:y:2025:i:1:p:192
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/ilr/article/download/0/0/52403/57069
    Download Restriction: no

    File URL: https://ccsenet.org/journal/index.php/ilr/article/view/0/52403
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:ilr123:v:14:y:2025:i:1:p:192. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.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.