IDEAS home Printed from https://ideas.repec.org/h/spr/fuobcp/978-3-032-14793-6_16.html

Corporate Digital Responsibility (CDR) and Its Role in AI Governance

In: Corporate Digital Responsibility

Author

Listed:
  • Sergio Genovesi

    (SKAD)

  • Ismael El-Hadj

    (SKAD)

Abstract

This chapter examines the application of Corporate Digital Responsibility (CDR) principle to the implementation of AI governance frameworks. With the introduction of the EU AI Act, organizations face new regulatory demands that classic IT governance cannot fully address, especially regarding AI-specific risks and ethical considerations. The chapter argues that effective AI governance must go beyond compliance, embedding principles such as transparency, fairness, privacy, accountability, sustainability, and stakeholder engagement into organizational processes. It highlights the challenges of translating high-level ethical values into actionable requirements, particularly in fast-paced, resource-constrained environments. The authors emphasize the importance of cross-functional collaboration, continuous AI literacy training, and the allocation of clear responsibilities to ensure responsible AI development and deployment. By leveraging existing governance structures and fostering a culture of ethical reflection, organizations can better manage the risks and societal impacts of AI. Ultimately, the chapter demonstrates that CDR provides a comprehensive foundation for responsible AI governance, enabling organizations to align innovation with ethical standards and societal expectations in an evolving regulatory landscape.

Suggested Citation

Handle: RePEc:spr:fuobcp:978-3-032-14793-6_16
DOI: 10.1007/978-3-032-14793-6_16
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
for a similarly titled item that would be available.

More about this item

Keywords

;
;
;
;
;

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:spr:fuobcp:978-3-032-14793-6_16. 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.