IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v12y2025i1d10.1057_s41599-025-04554-z.html
   My bibliography  Save this article

Integrating artificial intelligence in unmanned vehicles: navigating uncertainties, risks, and the path forward for the fourth industrial revolution

Author

Listed:
  • Md Altab Hossin

    (Chengdu University)

  • Songtao Yin

    (Chengdu Aeronautic Polytechnic)

  • Ruibo Dan

    (Logic and Scientific Method)

  • Lie Chen

    (Chengdu University)

Abstract

Artificial intelligence (AI) has been a field of research for nearly 80 years. Relevant technologies and products have widely been used in our daily lives, scientific research, and military fields. AI is a technology that is likely to be the strongest driving force of the 4th industrial revolution. The widespread adoption of AI requires collaborative efforts across various sectors. However, frequent accidents involving unmanned vehicles (UVs) have exposed loopholes, uncertainties, and risks in the rapid development of AI. This study analyzes the assessment phases of AI for UVs, technological advancements, uncertainties, and risks and proposes strategies for moving forward. First, we extract the hidden patterns of uncertainty and risk associated with AI and then provide rational suggestions for the development of AI based on UVs by using natural language processing and data visualization techniques. Results show that real-time detection, processing, prediction, and decision for UVs are of utmost importance and need to be developed with the integration of AI for greater adoption. The assessment phases include detection, process, prediction, decision, and performance, each playing a crucial role in enhancing UV capabilities. However, despite rapid technological advancements in AI for UVs, uncertainties and risks persist, such as economic implications, ethical dilemmas, and safety concerns. Strategic roadmaps, collaboration among industry and regulators, public engagement initiatives, ethical AI frameworks, and innovation ecosystems are proposed as strategies to address current challenges and foster a sustainable integration of AI in UVs.

Suggested Citation

  • Md Altab Hossin & Songtao Yin & Ruibo Dan & Lie Chen, 2025. "Integrating artificial intelligence in unmanned vehicles: navigating uncertainties, risks, and the path forward for the fourth industrial revolution," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-15, December.
    • Handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-04554-z
    DOI: 10.1057/s41599-025-04554-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-025-04554-z
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/s41599-025-04554-z?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-04554-z. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/ .

    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.