AIsammenheng

AIsammenheng is a term used in Norwegian and broader Scandinavian discourse to describe the context in which artificial intelligence systems operate. It combines AI with sammenheng, meaning context or framework, signaling that a system's outcomes depend not only on algorithms but on the surrounding social, legal, economic, organizational, and ethical environment.

Scope and components: Governance and regulation, data stewardship, privacy and security, transparency and explainability, fairness and non-discrimination, safety and accountability, human oversight, and organizational integration. It also encompasses institutional structures, workflows, and user practices that shape AI deployment.

Applications: The concept guides policy making, risk assessment, and responsible innovation by prompting analysts to consider how an AI system interacts with institutions, users, and values.

Policy relevance: AIsammenheng informs alignment with data protection rules, sector-specific regulations, and international guidelines, including human-in-the-loop requirements and auditability.

Challenges: Context is dynamic and multi-stakeholder; measuring contextual risk is difficult; balancing innovation with safeguards across jurisdictions is complex.

Approaches: Socio-technical analysis, stakeholder engagement, impact assessments, and governance frameworks that include accountability mechanisms and continuous monitoring.

Domains: In the public sector, finance, manufacturing, and healthcare, the context of use determines acceptable risk, deployment conditions, and oversight needs.

Overall, AIsammenheng emphasizes that effective AI governance requires looking beyond technical performance to the broader environment in which AI systems operate.