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 underscores the need for co-production of AI governance among technologists, lawyers, regulators, and users.The editors hope that readers will find the content both intellectually stimulating and practically useful as they confront the challenge of building safe, lawful, and trustworthy AI systems.

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 underscores the need for co-production of AI governance among technologists, lawyers, regulators, and users.The editors hope that readers will find the content both intellectually stimulating and practically useful as they confront the challenge of building safe, lawful, and trustworthy AI systems.

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 underscores the need for co-production of AI governance among technologists, lawyers, regulators, and users.The editors hope that readers will find the content both intellectually stimulating and practically useful as they confront the challenge of building safe, lawful, and trustworthy AI systems.