IDEAS home Printed from https://ideas.repec.org/a/taf/tbitxx/v44y2025i15p3771-3810.html
   My bibliography  Save this article

Understanding Human-Centred AI: a review of its defining elements and a research agenda

Author

Listed:
  • Stefan Schmager
  • Ilias O. Pappas
  • Polyxeni Vassilakopoulou

Abstract

The rapid advancements in artificial intelligence (AI) have ushered in a new era of innovative applications, while also prompting concerns regarding risks and adverse consequences. In light of the growing interest in comprehending AI's impact on society and its alignment with human values and needs, Human-Centred Artificial Intelligence (HCAI) has emerged as a potential approach to address questions and concerns. In this Systematic Literature Review, we aim to contribute to conceptual clarity around the definition, conceptualisation, and implementation of HCAI. The first part of our review addresses how HCAI is defined in the existing literature, culminating in a novel comprehensive HCAI definition. Subsequently, we delve into the identified constituent elements of HCAI, namely ‘purpose’, ‘values’, and ‘properties’. Purposes include augmentation, AI autonomy, and automation. Values relate to ethics, safety, and performance. Properties cover oversight, comprehension, and integrity. The third part of the review explores Human-Centred Design processes, methods, and tools and their applicability for HCAI. In conclusion, we discuss the characteristics and critiques of HCAI and provide a research agenda. This literature review contributes to advancing the discourse on HCAI, thus enhancing human welfare and societal well-being.Abbreviations: AI: artificial intelligence; AI-HLEG: high-level expert group on artificial intelligence; GenAI: generative AI; HCAI: human-centred artificial intelligence; HCD: human-centred design; HCI: human-computer interaction; ISO: international organization for standardization; OECD: organisation for economic co-operation and development.

Suggested Citation

  • Stefan Schmager & Ilias O. Pappas & Polyxeni Vassilakopoulou, 2025. "Understanding Human-Centred AI: a review of its defining elements and a research agenda," Behaviour and Information Technology, Taylor & Francis Journals, vol. 44(15), pages 3771-3810, September.
  • Handle: RePEc:taf:tbitxx:v:44:y:2025:i:15:p:3771-3810
    DOI: 10.1080/0144929X.2024.2448719
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0144929X.2024.2448719
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0144929X.2024.2448719?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

    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:taf:tbitxx:v:44:y:2025:i:15:p:3771-3810. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tbit .

    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.