Description
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.
Legal Principles in Rule-Based Artificial Intelligence.- A Web-Based Environment for the Specification and Generation of Smart Legal Contracts.- GDPR120Q: An Annotated Q&A Corpus for Privacy Compliance.- Automated Variance in Legal Decision-Making.- Evaluating AI for Law: Bridging the Gap with Open-Source Solutions.- Evaluating University Curricula in Preparing Future AI Developers to Comply with the AI Act: A Case Study of Belgium.- GPT Adoption Dilemma and the Impact of Disclosure Policies.
