Compliance for Artificial Intelligence Systems

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This contributed volume brings together perspectives from computer science, law, and organizational practice, it’s a foundational resource in the growing literature on compliance of AI systems.The chapters were inspired by the contributions to the International Symposium on Compliance for Algorithmic Law (SCALGO 2022), followed by further invitations and content reviewing. Collectively the volume ...
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This contributed volume brings together perspectives from computer science, law, and organizational practice, it’s a foundational resource in the growing literature on compliance of AI systems.The chapters were inspired by the contributions to the International Symposium on Compliance for Algorithmic Law (SCALGO 2022), followed by further invitations and content reviewing. Collectively the volume ...
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  • Formats: pdf
  • ISBN: 9783032127952
  • Publication Date: 1 Jan 2026
  • Publisher: Springer Nature Switzerland
  • Product language: English
  • Drm Setting: DRM