1. Criminalisation of Deepfake Use in Elections (2024)

Latvia passed a law criminalizing the use of AI-generated or AI-manipulated content (“deepfakes”) intended to influence elections.

Legal provision: Producing or distributing deepfake content to misrepresent candidates or parties during elections.

Penalty: Up to five years in prison, or probation/community service.

Implications: Even if no court has yet convicted anyone, this law makes Latvia one of the first EU countries to directly criminalize the use of AI-generated misinformation in politics.

Significance: AI-generated content is treated as a tool of crime, similar to fraud or libel, demonstrating how AI interacts with existing criminal law.

2. AI-Generated Child Pornography Case (2025)

A case involved a person using an AI-based image generator to produce explicit images of minors by manipulating existing images.

Legal classification: Child pornography, even though the images were AI-generated and no real child was involved.

Outcome: Prosecuted under existing child sexual abuse material laws.

Significance: Shows that Latvian law currently focuses on the harmful outcome, not the technology. AI is treated as a method rather than a separate legal category.

3. High-Risk AI in Financial Services

Latvia is implementing EU AI Act rules for high-risk AI systems in finance:

Example: Banks using AI for credit scoring or loan approval.

Requirements: Risk assessment, transparency, human oversight, and reporting incidents like wrongful denial or discrimination.

Implications: Even before any lawsuits, financial institutions are legally obliged to implement these safeguards. Future court cases could arise if AI decisions cause harm to customers.

Significance: Prepares a legal framework for future AI liability cases in finance.

4. AI Use in Public Administration

Latvia issued guidelines for AI deployment in state institutions:

Scenario: A social welfare office uses AI to prioritize applications for benefits.

Requirements: Transparent algorithms, human oversight, and ethical use of data.

Implications: Misuse could lead to administrative challenges or human-rights complaints.

Significance: Introduces accountability and risk mitigation in public AI deployment, even if no formal court cases exist yet.

5. Intellectual Property and AI-Generated Works

Latvia is exploring how copyright and patent law apply to AI-generated works:

Scenario: An AI creates artwork or software code.

Legal question: Who owns the output — the programmer, the user, or the AI itself?

Status: No court has fully decided yet; scholars debate whether AI can be considered an “author” or “inventor.”

Implications: Future disputes over AI-created content could go to court, affecting IP law, contracts, and ownership rights.

Significance: Highlights the need for legal adaptation in IP law due to AI.

6. AI and Privacy Violations

AI systems used for surveillance or processing personal data could violate privacy laws:

Scenario: An AI system scans public areas to identify individuals without consent.

Legal basis: Data protection and human-rights laws.

Potential outcomes: Administrative fines or criminal liability if data protection violations occur.

Significance: Even in absence of direct court rulings, the law treats AI as subject to existing privacy frameworks, showing proactive regulation.

✅ Summary

Latvia’s AI law combines criminal law, administrative guidelines, and sector-specific rules.

Most examples today are legislative or regulatory actions, but they anticipate court cases.

Key areas of AI law in Latvia:

Deepfake use in elections → criminal liability

AI-generated child pornography → treated under existing criminal laws

High-risk AI in finance → regulatory compliance

AI in public administration → accountability and transparency

Intellectual property disputes → future legal cases

Privacy violations via AI → administrative or criminal action

Latvia is setting the stage for future AI litigation, even if traditional court cases are still limited.