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PERSPECTIVE article

Front. Hum. Dyn.
Sec. Digital Impacts
Volume 6 - 2024 | doi: 10.3389/fhumd.2024.1421273
This article is part of the Research Topic The Role of Artificial Intelligence in Everyday Well-Being View all articles

Transparency and Accountability in AI Systems: Safeguarding Well-Being in the Age of Algorithmic Decision-Making

Provisionally accepted
Ben Chester Cheong Ben Chester Cheong 1,2*
  • 1 Singapore University of Social Sciences, Singapore, Singapore
  • 2 University of Cambridge, Cambridge, England, United Kingdom

The final, formatted version of the article will be published soon.

    The rapid integration of artificial intelligence (AI) systems into various domains has raised concerns about their impact on individual and societal well-being, particularly due to the lack of transparency and accountability in their decision-making processes. This review aims to provide an overview of the key legal and ethical challenges associated with implementing transparency and accountability in AI systems. The review identifies four main thematic areas: technical approaches, legal and regulatory frameworks, ethical and societal considerations, and interdisciplinary and multistakeholder approaches. By synthesising the current state of research and proposing key strategies for policymakers, this review contributes to the ongoing discourse on responsible AI governance and lays the foundation for future research in this critical area. Ultimately, the goal is to promote individual and societal well-being by ensuring that AI systems are developed and deployed in a transparent, accountable, and ethical manner.

    Keywords: AI, Well-being, Transparency, Accountability < Policy, governance

    Received: 22 Apr 2024; Accepted: 20 Jun 2024.

    Copyright: © 2024 Cheong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Ben Chester Cheong, Singapore University of Social Sciences, Singapore, Singapore

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.