Switzerland - AI Systems Strategy
Strategy: Use of AI systems in the Federal Administration
Strategie: Einsatz von KI-Systemen in der Bundesverwaltung
Switzerland
RAI-CH-NA-SUASFXX-2025The federal-level Swiss strategy 'Strategy: Use of AI systems in the Federal Administration' establishes principles, three priority action fields (build competencies, earn trust, increase efficiency), and a lifecycle-based governance approach for all AI systems used across the Swiss Federal Administration. It was prepared by the Federal Chancellery (DTI) and published as a DTI part‑strategy in 2025 with an accompanying PDF and forthcoming implementation plan.
Summary
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Overview
The Strategy: Use of AI systems in the Federal Administration (SB021) is a DTI part‑strategy prepared and published by the Federal Chancellery to set the foundational rules and principles for all AI systems used by the Swiss Federal Administration. It defines a lifecycle approach to AI governance, establishes three priority action fields — competencies, trust and efficiency — and presents a vision of AI as a tool to improve public services while safeguarding democracy, fundamental rights and the rule of law. The strategy is published by the Federal Chancellery; the official PDF and web page are available via the Federal Chancellery portals (Bundeskanzlei: Strategy PDF) and the DTI guidance pages (BK: Strategy page). The strategy is intended to be implemented via a separate, detailed measures plan and through existing operational regulations.
Definitions
SB021 supplies operational definitions to create a common understanding across departments. A KI‑system (AI system) is defined as a machine‑based system that infers, from inputs, outputs such as predictions, content, recommendations or decisions that may affect physical or virtual environments and can have varying autonomy levels. The document frames a 'life cycle' including plan & design; data collection and processing; model building/adaptation; testing/validation; deployment; operation/monitoring; decommissioning. It references CNAI terminology and international sources (OECD AI principles) to harmonise definitions and foster interoperability of governance approaches.
Governance and Institutional Framework
Governance responsibility is allocated to the lead DTI function within the Federal Chancellery, with cross‑departmental coordination shaped by CNAI (the federal Competence Network for AI) and active engagement from affected departments (e.g., EJPD, UVEK, WBF). The strategy is issued as a partstrategy under Article 17 of the VDTI and is integrated into the broader Strategy Digital Federal Administration and the national 'Digitale Schweiz' programme. Governance elements include central guidance and blueprints, service‑level standard components, department‑level responsibilities, and a mandate to create department‑spanning coordination structures and knowledge exchanges. Technical governance requires integration with information security (ISG/ISV), data protection obligations (DSG), and procurement/contracting rules. For authoritative documents and contact points, see the Federal Chancellery DTI pages (DTI – Federal Chancellery) and CNAI (CNAI terminology).
Key Focus Areas
The strategy sets out three interdependent handlungsfelder: (1) Competencies to ensure staff, leaders and service providers hold the necessary technical, legal and operational skills; this includes role‑based training, service support and reuseable architecture blueprints. (2) Trust mechanisms to ensure legal and ethical compliance, transparency, documentation and privacy safeguards; this includes life‑cycle documentation, processes to assess generative models (language models), and tools to handle sensitive data securely. (3) Efficiency improvements centred on planning, cost/benefit analyses, pragmatic automation of process steps, standard services, and reuseable AI components. Across these focus areas the strategy advances concrete objectives: e.g., by 2030 prioritise cost/time savings in defined use cases; create standard services for recurring administrative tasks; ensure modular, interoperable solutions that respect digital sovereignty. The strategy emphasises human‑centred design, sustainability (economic, ecological, social), robustness and resilience of AI systems, and the need to maintain transparency and explainability appropriate to the context of use.
Implementation Framework
Implementation is assigned to the Bundeskanzlei (DTI) in cooperation with CNAI and the departments; a separate implementation plan with concrete measures and timelines is to be published. Implementation tools include: department‑level planning documents with objective and KPI statements, cost/benefit and risk assessments, mandatory documentation templates covering lifecycle and data provenance, standard service catalogues (central model hosting, APIs, secure data services), and training curricula. The strategy instructs departments to integrate AI governance into procurement, security, and personnel policies. It requires that deployments of generative or high‑impact models be subject to specific review for traceability, training data provenance and documentation to enable downstream oversight. Technical integration must align with existing ISG/ISV information‑security rules and with the forthcoming DigiV provisions now in force for DTI guidance.
Monitoring and Evaluation
Monitoring is to be realised by reporting mechanisms coordinated by the DTI and CNAI, with periodic public transparency on the types of AI systems used and aggregated risk profiles. Evaluation criteria include achievement of stated efficiency gains, compliance with legal/ethical principles, robustness of security measures, and uptake of training/competency measures. The strategy calls for an implementation plan including monitoring indicators, milestone reviews and mid‑term evaluations; departmental self‑assessments and central audits are anticipated as part of oversight. Public transparency is balanced with security and privacy requirements; aggregated reporting and cataloguing of systems will be used to inform stakeholders and policy makers.
Penalties, Liability, and Appeals
SB021 itself is an internal part‑strategy and does not create new criminal or civil penalties; rather it establishes mandatory internal governance obligations for administration units. Legal liability and enforcement remain anchored in existing law (e.g., liability rules in Swiss civil law, data protection obligations under the Federal Act on Data Protection) and relevant administrative disciplinary regimes. The document foresees remedial measures, administrative withdrawal or suspension of AI system approvals, and internal accountability mechanisms where non‑compliance poses legal or operational risk. Appeal pathways for affected persons remain under established legal procedures; where statutory obligations arise from later implementing legislation, legal remedies under those statutes would apply.
Relationship to Other Instruments
The strategy is explicitly situated within the Strategy Digitale Bundesverwaltung and the national 'Digitale Schweiz' priorities. It is a partstrategy pursuant to the VDTI (Article 17) and must be implemented in alignment with the Digitalisation Ordinance (DigiV), the Federal Data Protection Act (DSG), the Information Security Act (ISG) and related ordinances and procurement rules. The document references previous federal AI guidance (e.g., 2020 Leitlinien) as complementary inputs and indicates cooperation with EJPD, UVEK, EDA and WBF on legal/regulatory and sectoral matters. It also anticipates and coordinates with the federal work programme to implement the Council of Europe AI Convention and proposed national AI regulatory steps to be prepared through 2026.
International Alignment
The strategy emphasises alignment with international principles and norms (OECD AI Principles, Council of Europe AI Convention) and cooperation with international partners on interoperability, norms and procurement best practice. It instructs CNAI and DTI to consider international standards, certification schemes and sectoral regulatory work when developing technical and governance templates. The approach aims to preserve Swiss competitiveness and to facilitate cross‑border data flows under appropriate safeguards while observing international human rights and non‑discrimination commitments; coordination with federal foreign affairs and justice departments is specifically foreseen for international legal alignment.
Implementation Timeline
| Milestone | Target date | Notes |
|---|---|---|
| Bundesrat commission to BK to develop strategy | 2024-09-13 | Political mandate to develop partstrategy |
| Strategy enters into force / public rollout | 2025-03-21 | Public reporting and press coverage |
| PDF published on BK website | 2025-04-11 | Official downloadable SB021 PDF |
| DTI to publish implementation plan | 2025-12-31 | Plan to detail measures, services and KPIs (timeline per strategy text) |
| Mid‑term review and monitoring report | 2027-06-30 | Central review of KPIs and risk management |
| Full evaluation / alignment with national AI regulatory developments | 2026-12-31 | Alignment with national AI regulatory roadmap/Europarat convention implementation |
Compliance Checklist
| Requirement | Compliant (Y/N) |
|---|---|
| Unit‑level AI use plan with objectives and KPI | Yes / planned |
| Documentation of life‑cycle and data provenance | Yes / mandatory |
| Role‑based staff training implemented | Planned / in progress |
| Risk assessment & DPIA for sensitive uses | Required |
| Technical security controls aligned with ISG | Required |
| Review of generative models before deployment | Required |
| Use of central standard services where applicable | Encouraged / mandated when available |
Sources and References
| Source | Type |
|---|---|
| Strategie Einsatz von KI‑Systemen in der Bundesverwaltung (SB021) — PDF | Primary Source |
| BK: SB021 web page | Primary Source |
| Digitale Schweiz — Measure page | Primary Source |
Switzerland's new strategy sets out how all federal government departments must manage and use artificial intelligence (AI) systems, aiming to improve public services while upholding democratic values.
This policy applies to every AI system used across the entire Swiss Federal Administration, from planning and design through to operation and decommissioning. It was prepared by the Federal Chancellery and became effective on March 21, 2025.
The strategy outlines several key obligations for federal departments. They must implement a lifecycle-based governance approach for all AI systems, ensuring proper planning, data handling, model building, testing, deployment, and monitoring. Departments are also tasked with building staff competencies through training and support, ensuring personnel have the necessary technical, legal, and operational skills for AI use. A core focus is establishing trust mechanisms, which includes robust legal and ethical compliance, transparency, comprehensive documentation, and strong privacy safeguards. This specifically requires review processes for generative AI models before they are deployed. Finally, the strategy pushes for efficiency by conducting cost-benefit analyses, automating processes where pragmatic, and using standard AI services and reusable components.
While this strategy itself doesn't introduce new criminal or civil penalties, it creates mandatory internal governance rules for administrative units. Non-compliance can lead to internal accountability measures, such as the withdrawal or suspension of AI system approvals. Furthermore, existing laws, like the Federal Act on Data Protection, continue to apply, meaning legal liability for misuse or breaches remains under those statutes. A practical surprise for many might be that this document is a high-level strategy; a separate, detailed implementation plan with concrete measures and timelines is still to be published by the end of 2025, meaning the specifics of *how* to comply are still being developed.
Plain-English rewrite by Regulations.ai — not legal advice. Verify against the official text.
What you must do — compliance checklist
0 / 12 marked completePlain-English obligations under Switzerland - AI Systems Strategy. Not legal advice — verify against the official text before relying on it.
- #1CriticalGovernance and Institutional Framework
Applies to: Departments of the Federal Administration
“Technical governance requires integration with information security (ISG/ISV), data protection obligations (DSG), and procurement/contracting rules.”
- #2CriticalImplementation Framework⏰ Before deployment and ongoing
Applies to: Departments deploying AI systems
“Technical integration must align with existing ISG/ISV information‑security rules and with the forthcoming DigiV provisions”
- #3CriticalImplementation Framework⏰ Before deployment
Applies to: Departments deploying AI systems
“Implementation tools include: ... cost/benefit and risk assessments”
- #4CriticalImplementation Framework⏰ Before deployment and ongoing
Applies to: Departments deploying AI systems
“mandatory documentation templates covering lifecycle and data provenance”
- #5CriticalImplementation Framework⏰ Before deployment
Applies to: Departments deploying generative or high-impact AI models
“deployments of generative or high‑impact models be subject to specific review for traceability, training data provenance and documentation”
- #6ImportantImplementation Framework
Applies to: Departments of the Federal Administration
“Implementation tools include: department‑level planning documents with objective and KPI statements”
- #7ImportantKey Focus Areas
Applies to: Departments of the Federal Administration
“Competencies to ensure staff, leaders and service providers hold the necessary technical, legal and operational skills; this includes role‑based training”
- #8ImportantImplementation Framework
Applies to: Departments of the Federal Administration
“The strategy instructs departments to integrate AI governance into procurement, security, and personnel policies.”
- #9ImportantKey Focus Areas⏰ Before deployment and ongoing
Applies to: Departments deploying AI systems
“the need to maintain transparency and explainability appropriate to the context of use.”
- #10ImportantImplementation Framework
Applies to: Departments deploying AI systems
“standard service catalogues (central model hosting, APIs, secure data services)”
- #11ImportantGovernance and Institutional Framework
Applies to: Departments of the Federal Administration
“mandate to create department‑spanning coordination structures and knowledge exchanges.”
- #12RecommendedKey Focus Areas⏰ Before deployment and ongoing
Applies to: Departments deploying AI systems
“The strategy emphasises human‑centred design, sustainability (economic, ecological, social), robustness and resilience of AI systems”
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