AI Regulation Hub

Switzerland

Switzerland has no horizontal AI Act. Existing law applies — especially the Federal Act on Data Protection. Switzerland intends to ratify and implement the Council of Europe AI Convention via targeted sectoral amendments and non-binding measures.

Key provisions

Federal Act on Data Protection applies to AI

In force

Swiss data-protection law applies directly to AI-supported personal-data processing across training, fine-tuning, prompting, profiling, inference and output generation.

FDPIC AI transparency expectations

In force

Individuals must be informed about purpose, functionality and data sources of AI processing. Users should know when they are communicating with a machine and whether their input is used for self-learning or training. Manipulation of faces, images or voices should be indicated.

Prohibited privacy-undermining applications

In force

FDPIC identifies comprehensive real-time facial recognition and social scoring as prohibited under data-protection law.

CoE AI Convention ratification & sectoral amendments

Draft

Switzerland intends to ratify the Council of Europe AI Convention and implement it through sector-specific amendments in areas such as healthcare and transport, with cross-sector rules only where needed.

Detailed overview

Switzerland does not currently have a specific horizontal AI Act. The Swiss Federal Office of Communications states that Switzerland has no specific AI legislation at present. Switzerland is taking a sector-specific approach and intends to implement the Council of Europe AI Convention through targeted legal amendments and non-binding measures.

Data protection as the primary lens

Swiss AI compliance is currently based mainly on existing law, especially the Federal Act on Data Protection. The Federal Data Protection and Information Commissioner states that Swiss data-protection law applies directly to AI-supported personal-data processing. This is important because many AI systems process personal data during training, fine-tuning, prompting, profiling, inference or output generation.

AI systems involving personal data must be transparent. Individuals should be informed about the purpose of processing, the functionality of the AI system and the data sources used. Users should know when they are communicating with a machine and whether their input data is used for self-learning or training. Manipulation of faces, images or voices should be indicated where relevant.

High-risk AI-supported personal-data processing may require protective measures and a data-protection impact assessment. The Swiss data-protection authority also identifies privacy-undermining applications, such as comprehensive real-time facial recognition and social scoring, as prohibited under data-protection law.

Council of Europe AI Convention

The Swiss Federal Council has stated that Switzerland intends to ratify and implement the Council of Europe AI Convention. The planned approach is sector-specific, with possible amendments in areas such as healthcare and transport, and with cross-sector rules only where needed for central fundamental-rights issues such as transparency, data protection, non-discrimination and supervision.

Penalties

Switzerland does not currently have one AI-specific penalty table. Penalties depend on the underlying legal regime, such as data protection, financial regulation, healthcare, product safety, employment or criminal law. AI systems processing personal data should be assessed under Swiss data-protection rules from the design stage.

Practical requirements & details

Sourced from the Federal Act on Data Protection (FADP, revised in force since 1 Sept 2023), FDPIC AI position papers, FINMA RiskMap, Swissmedic AI medical-device guidance.

FDPIC expectations for AI processing personal data

  • Identify the legitimate purpose and proportionality of personal-data processing across the AI lifecycle.
  • Inform individuals about purpose of processing, functionality of the AI system and data sources.
  • Users must know when they are communicating with a machine and whether input is used for training.
  • Manipulation of faces, images, voices: clearly disclose.
  • High-risk AI processing: protective measures + DPIA.

Prohibited (under FDPIC view)

  • Comprehensive real-time facial recognition; social scoring — considered prohibited under existing privacy law.

FINMA + Swissmedic

  • FINMA Risk Map highlights AI risks for financial institutions — governance, model risk, third-party risk.
  • Swissmedic SaMD requirements for AI medical devices.

Council of Europe AI Convention

  • Switzerland intends to ratify and implement via sector-specific amendments (healthcare, transport) plus cross-sector rules where needed.

Penalties

  • FADP: criminal fines for natural persons up to CHF 250,000 for intentional violations of duties (e.g. breach of duty to inform, breach of professional secrecy).
  • Sectoral fines under FinSA/FINIG, MedTech, criminal law, etc.

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