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Corporate Digital Responsibility for AI: Towards a Disclosure Framework

In: Artificial Intelligence, Finance, and Sustainability

Author

Listed:
  • Gleb Papyshev

    (The Hong Kong University of Science and Technology)

  • Keith Jin Deng Chan

    (The Hong Kong University of Science and Technology)

Abstract

This chapter investigates the multifaceted approaches nations adopt in governing and regulating artificial intelligence (AI). It examines the divergent paths taken by the European Union (EU) and China—favoring robust regulation—and contrasts these with the less restrictive, innovation-oriented policies of the United Kingdom (UK). The chapter delves into the challenges and shortcomings of current legal frameworks in AI governance, emphasizing issues of accountability, transparency, and ethical considerations. It articulates the pivotal role of corporate self-regulation in advancing responsible AI practices, particularly in the absence of comprehensive legislation. The discussion centers on the need for corporations to integrate AI governance as a core aspect of their corporate digital responsibility (CDR), proposing a model of voluntary AI disclosures to enhance transparency and accountability. The chapter posits that while varied national regulatory approaches reflect differing priorities, the universal challenges presented by AI necessitate a collaborative effort between government regulation, corporate self-regulation, industry-level oversight, and international standardization to cultivate an AI ecosystem characterized by ethical integrity and public trust.

Suggested Citation

  • Gleb Papyshev & Keith Jin Deng Chan, 2024. "Corporate Digital Responsibility for AI: Towards a Disclosure Framework," Springer Books, in: Thomas Walker & Dieter Gramlich & Akram Sadati (ed.), Artificial Intelligence, Finance, and Sustainability, pages 265-285, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-66205-8_11
    DOI: 10.1007/978-3-031-66205-8_11
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