The AI Basic Act Era: A Practical Voice AI Compliance Guide

On January 22, 2026, South Korea's Act on the Development of Artificial Intelligence and Establishment of Trust (the "AI Basic Act") took effect. Alongside the EU AI Act, it is one of the few comprehensive national AI regulatory frameworks. If your business operates Voice AI in call centers or customer-facing channels, now is the time to assess what this law demands of your systems.

What Is High-Impact AI?

Rather than the EU's "high-risk" label, Korea's law uses "high-impact." Article 2(4) lists domains such as energy supply, drinking water production, healthcare and medical devices, nuclear facilities, biometrics for criminal investigation or arrest, decisions on individual rights and obligations such as recruitment and credit assessment, transportation, public-service decisions by state agencies, and student evaluation, and leaves further domains to Presidential Decree. The system must also pose a significant impact or risk to human life, safety, or fundamental rights.

The key principle is a dual test: domain relevance plus impact severity. Simply operating in one of the listed domains does not automatically trigger high-impact classification; the system must demonstrably affect individuals' rights or safety.

Does Voice AI Qualify as High-Impact?

It depends on the use case. A simple FAQ bot likely does not qualify. But Voice AI that pre-screens loan applicants, processes insurance claims with approval or denial recommendations, or performs medical symptom triage could well fall under the high-impact designation.

Article 34 of the AI Basic Act (summary): Operators of high-impact AI must establish and operate risk management plans, implement explanation measures, establish user protection measures, ensure human oversight, and prepare and retain documents that verify these safety and trust measures.

The retention period is set by the Enforcement Decree; the draft decree published in 2025 proposed five years. When classification is unclear, operators can request a determination from the Ministry of Science and ICT (MSIT). Best practice is to conduct a self-assessment first, then seek official confirmation for borderline cases.

Generative AI Transparency: Applies to All Voice AI

Regardless of high-impact status, operators providing products or services using generative AI have transparency obligations under Article 31. Users must be notified in advance that the service is AI-based (paragraph 1), and outputs generated by generative AI must be labeled as such (paragraph 2). For Voice AI, this typically means announcing "This is an AI agent" at the start of every call.

The three items below separate legal duties from recommendations.

1. Clearly disclose AI agent status at the start of each call (legal duty)

2. Label AI-generated speech. Labeling itself is required; besides spoken or written notices, invisible markers such as audio watermarks or metadata are one available method

3. Provide a path to a human agent upon request (not directly required by the statute, but recommended in line with user protection and human oversight duties for high-impact AI)

Cross-Regulation with the EU AI Act

Companies operating Voice AI in Korea while serving European customers must comply with both frameworks simultaneously. The EU AI Act requires conformity assessments, CE marking, and EU database registration for high-risk AI, and is more technically prescriptive than Korea's self-assessment model.

Korea's maximum fine stands at KRW 30 million (about USD 21,000), modest compared to the EU's revenue-proportional penalties (up to EUR 35 million or 7% of global turnover). However, enforcement may tighten after the grace period through enforcement decree amendments.

Five-Step Compliance Checklist to Start Now

1. Build an AI system inventory: Catalog every AI system in operation, documenting its domain and level of decision-making involvement.

2. Self-assess high-impact status: Classify each system against the Article 2(4) domains and impact criteria. Request an MSIT determination for ambiguous cases.

3. Design transparency protocols: Implement AI disclosure scripts, a labeling method for generated speech (spoken notice or audio watermark), and human handoff pathways.

4. Map data workflows: Document training data collection, processing, and storage pipelines. For high-impact AI, the explanation measures must include an overview of the training data.

5. Establish documentation and retention: Create documents that verify safety and trust measures, and set up infrastructure to retain them for the period set by the Enforcement Decree (five years in the draft decree).

BringTalk's Approach: Compliance by Design

BringTalk builds transparency and explainability into the Voice AI platform from the architecture level. AI disclosure at call start, real-time human handoff, and automatic call log retention are standard features, not add-ons. In the AI Basic Act era, compliance should be a product specification, not a separate project.

This article reflects laws and public materials as of October 2026. Check the final decree and notices at the Korea Law Information Center.