Inhaltsverzeichnis
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1. Introduction
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2. Primary data protection risks from AI
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3. Protections available under Swiss law
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3.1. Introduction
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3.2. Under the nFADP
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3.2.1. Mass surveillance
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3.2.1.1. Biometric data
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3.2.1.2. Data protection impact assessment
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3.2.1.3. Log
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3.2.1.4. Processing regulations
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3.2.2. Automated processing
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3.2.2.1. Profiling
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3.2.2.2. Automated decisions
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3.3. Other sources
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3.3.1. International
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3.3.1.1. Convention 108+
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3.3.1.2. European Human Rights Convention
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3.3.2. Domestic
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3.3.2.1. Constitution
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3.3.2.2. Criminal Procedure Code
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3.3.2.3. Labour Law and Employment Law
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a. Labour Law
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b. Employment Law
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4. Proposed AI-specific protections in the EU: the AI Act
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4.1. Introduction to the AI Act
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4.1.1. Background
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4.1.2. Overview
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4.2. Unacceptable risk
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4.2.1. Scope
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4.2.2. Rules
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4.3. High risk
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4.3.1. Scope
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4.3.2. Rules
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4.4. Limited risk
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4.4.1. Scope
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4.4.2. Rules
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4.5. Minimal risk
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4.5.1. Scope
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4.5.2. Rules
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4.6. General-purpose AI, foundation models and generative AI
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4.6.1. Scope
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4.6.2. Rules
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4.7. Innovation
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5. Comparison
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5.1. Personal data protection
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5.1.1. Unacceptable risk
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5.1.2. High risk
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5.1.3. Limited risk
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5.1.4. Minimal risk
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5.1.5. General-purpose AI/foundation models and generative AI
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5.2. Advantages of the Swiss approach
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5.2.1. Nuanced approach
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5.2.1.1. Exclusion
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5.2.1.2. Overreaching
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5.2.2. Innovation
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5.3. Disadvantages of the Swiss approach
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5.3.1. Piece-meal solution
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5.3.1.1. Lack of legal certainty
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5.3.1.2. Unaddressed risks
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5.3.2. Timing
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6. Conclusion