Devising Regulatory Sandboxes and Responsible Practices for Designing AI-based Services in the Finnish Public Sector

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsProfessional


In this paper, we examine the opportunities and challenges of devising mechanisms for responsible AI practices in the public sector. We discuss how innovations in public sector AI must comply with suitable ethical and regulatory frameworks, while fostering experimentation and participation of diverse actors throughout the AI lifecycle of designing, deploying, and assessing such services. We examine AI-based innovations and ethical practices in the context of prototype systems and end-user services provid-ed by two Finnish public sector organizations. The paper proposes regula-tory AI sandboxes engaging multiple stakeholders and integrative frame-works (MLOps and RegOps), to facilitate experimentation, co-learning, and deployment of future public sector AI services with ethical practices and regulatory compliance. Upcoming regulations such as the AI Act and the AI Liability Directive make the adoption of such sandboxes beneficial as a space for limited experimentation, that goes beyond ethical considerations to specific legal compliance and allocation of liability. In the future, this framework must be validated through pilot experimentation with pub-lic/private stakeholders and regulators in different areas of high-risk AI ser-vices.
Original languageEnglish
Title of host publicationInternational Workshop on AI Compliance Mechanism (WAICOM 2022), 35th International Conference on Legal Knowledge and Information Systems (JURIX 2022), Saarland University, Saarbrücken, Germany
Publication statusPublished - 14 Dec 2022
MoE publication typeD3 Professional conference proceedings
EventInternational Workshop on AI Compliance Mechanism - Saarbrücken, Germany
Duration: 14 Dec 202214 Dec 2022


WorkshopInternational Workshop on AI Compliance Mechanism
Abbreviated titleWAICOM


  • regulatory sandboxes
  • public sector
  • AI-based services
  • ethical practices
  • regulatory compliance


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