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AI Regulations

In: Generative AI Security

Author

Listed:
  • Ken Huang

    (DistributedApps.ai)

  • Aditi Joshi

    (Google)

  • Sandy Dun

    (QuarkIQ LLC)

  • Nick Hamilton

    (OpenAI)

Abstract

This chapter provides an analysis of the regulatory landscape governing artificial intelligence on national and international levels. It emphasizes the growing need for global coordination in AI governance, drawing parallels with frameworks like the IAEA that enable constructive oversight of complex technologies. Through a comparative analysis, the chapter examines major regulatory initiatives, themes, tensions, and best practices taking shape across vital regions, including the European Union, China, the United States, the United Kingdom, Japan, India, Singapore, and Australia. Additionally, the pivotal role of international organizations like the OECD, World Economic Forum, and United Nations in developing harmonized principles and governance models for responsible AI is discussed. The chapter highlights how adaptable, balanced regulatory frameworks are crucial to promoting AI safety, ethics, and societal well-being while also fostering innovation. It sets the stage for further discourse on implementing AI governance to align with ethical norms and human values.

Suggested Citation

Handle: RePEc:spr:fuobcp:978-3-031-54252-7_3
DOI: 10.1007/978-3-031-54252-7_3
as

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