IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-97-0597-9_4.html
   My bibliography  Save this book chapter

The AI Ecosystem of Shanghai

In: The Use of Artificial Intelligence in the Public Sector in Shanghai

Author

Listed:
  • Diego Todaro

    (Ca’ Foscari University of Venice)

Abstract

This chapter assesses the operational capacity of Shanghai to implement public sector AI applications in practice. To do so, it examines the status of Shanghai’s AI ecosystem, defined as the aggregation of resources needed to make public sector AI applications possible. Building on previous research on AI ecosystems, the chapter gauges five indicators to assess the availability of such resources in Shanghai, namely: data; technological and physical infrastructure; AI talents; AI companies; and social acceptance of AI-enabled public services. This chapter also emphasizes the ability of Shanghai to orchestrate the resources of the municipal AI ecosystem, arguing that this is a key component of Shanghai’s capacity to deploy AI in the public sector.

Suggested Citation

  • Diego Todaro, 2024. "The AI Ecosystem of Shanghai," Springer Books, in: The Use of Artificial Intelligence in the Public Sector in Shanghai, chapter 0, pages 217-293, Springer.
  • Handle: RePEc:spr:sprchp:978-981-97-0597-9_4
    DOI: 10.1007/978-981-97-0597-9_4
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:sprchp:978-981-97-0597-9_4. 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: http://www.springer.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.