Korea AI Basic Act Compliance Template

Korean AI Basic Act: roles, dated fact table, transparency, high-performance safety, high-impact duties, domestic representative, actions

AI & Machine LearningStandardKorea Framework Act on AI (AI Basic Act), in force 22 Jan 2026korea basic act complianceUpdated Oct 29, 2026

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How to use: Use it when a product or service using generative or high-impact AI reaches users or the market in Korea, including from abroad. Fill the dated fact table from the official sources first, then work through Articles 31 to 36. The main pitfall is treating the Act's operator roles as the EU provider and deployer, or relying on thresholds that the Enforcement Decree has changed.

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Korea AI Basic Act Compliance Assessment: [Organisation or product name]

Compliance assessment for the duties on generative AI, high-impact AI and high-performance AI under the Republic of Korea's Framework Act on the Development of Artificial Intelligence and the Establishment of a Foundation for Trust, often called the AI Basic Act (Act No. 20676 of 21 January 2025, in force since 22 January 2026, amended by Act No. 21311 of 20 January 2026), its Enforcement Decree and the guidelines of the Ministry of Science and ICT (MSIT). Article numbers follow the English translation published by the Korea Legislation Research Institute. Replace every [bracketed] value and every row marked Example. This is a documentation format, not legal advice; the rules are new and change often, so check the current official text and a qualified Korean counsel before relying on it.

Document control

Field	Value
Document ID	[KR-AIBA-001]
Product or service	[Name, version]
Version	[0.1]
Status	[Draft / In review / Approved / Superseded]
Owner	[@ai-compliance-lead]
Reviewers	[@kr-counsel], [@product-lead], [@privacy]
Official sources checked on	YYYY-MM-DD
Domestic representative	[Name, address in Korea / Not required]
Last updated	YYYY-MM-DD
Classification	[Internal / Confidential]

Approvals

Role	Name	Decision	Date
Compliance lead	[@name]	[Approve / Reject]	YYYY-MM-DD
Korean counsel	[@name]	[Reviewed]	YYYY-MM-DD
Product owner	[@name]	[Accept actions]	YYYY-MM-DD

Revision history

Version	Date	Author	Change summary
0.1	YYYY-MM-DD	[@name]	First draft
1.0	YYYY-MM-DD	[@name]	Example: Approved after counsel review
1.1	YYYY-MM-DD	[@name]	Example: Updated after MSIT guideline revision

1. Scope and roles

ID	System	Korean users or market	Role under the Act	Generative AI?	Possible high-impact area
SYS-001 (Example)	Tutoring chatbot	Learners in Korea through an app	Utilisation business operator (built on a third-party model)	Yes	No
SYS-002 (Example)	Essay scoring for schools	Contracted by Korean schools	Development and utilisation business operator	No	Possibly: student assessment
SYS-003 (Example)	Avatar video generator	Teachers create lesson videos	Development business operator	Yes	No

Example organisation: Pelmora Learning, a fictional education technology company established outside Korea.

2. Dated fact table

Fact	Value as checked	Source	Checked on
Entry into force	22 January 2026	Act addenda; KLRI	YYYY-MM-DD
Latest amendment	Act No. 21311, 20 January 2026	KLRI English service	YYYY-MM-DD
Enforcement Decree	Reported finalised with five MSIT guidelines at entry into force	MSIT, law.go.kr	YYYY-MM-DD
High-performance AI compute level	Reported as 10^26 FLOP cumulative training compute	Enforcement Decree	YYYY-MM-DD
Domestic representative thresholds	Reported as total revenue above 1 trillion KRW, AI service revenue above 10 billion KRW, or average daily Korean users above 1 million, in the prior year	Enforcement Decree	YYYY-MM-DD
Maximum administrative fine	30 million KRW (Article 43)	Act	YYYY-MM-DD
Fine grace period	MSIT stated a period of at least one year before fines	MSIT announcement	YYYY-MM-DD

Thresholds marked "reported" were taken from law firm summaries of the decree when this template was written. Confirm them against the decree on law.go.kr.

3. Transparency duties (Article 31)

ID	Duty (summary)	Systems	How met	Status	Evidence
KR-T-001 (Example)	Tell users in advance that the product or service runs on generative or high-impact AI	SYS-001, SYS-002, SYS-003	Onboarding notice and terms in Korean	Done	Screenshots
KR-T-002 (Example)	Indicate that outputs are produced by generative AI	SYS-001, SYS-003	Visible label in chat; machine-readable metadata in files	Done	Label specification
KR-T-003 (Example)	Give a clear notice when sound, image or video is hard to tell apart from reality	SYS-003	On-screen notice at the start of each video	In progress	Design ticket

See also ai-data/ai-content-transparency-plan for the labelling design.

4. High-performance AI safety (Article 32)

Question	Answer
Training compute of models we develop	Example: 4.0 × 10^23 FLOP for SYS-002
At or above the decree level?	Example: No, 250 times below 10^26 FLOP
If yes: lifecycle risk identification and mitigation, safety incident monitoring and response, report of results to MSIT	[Plan reference]

5. High-impact AI confirmation (Article 33)

System	Area considered	Significant effect on life, safety or fundamental rights?	Conclusion	MSIT confirmation requested?
SYS-002 (Example)	Student assessment in secondary education	Scores feed teacher grading decisions	Treated as high-impact pending confirmation	Yes, YYYY-MM-DD
SYS-001 (Example)	None	Practice tutoring, no decision about the learner	Not high-impact	No

6. High-impact AI responsibilities (Articles 34 and 35)

ID	Measure (summary)	Article	System	Evidence	Status
KR-H-001 (Example)	Risk management plan in place and operated	34	SYS-002	`ai-data/ai-risk-assessment` RA-07	Done
KR-H-002 (Example)	Explanation of results, main criteria and an outline of training data, to the extent technically possible	34	SYS-002	Teacher-facing explanation page	In progress
KR-H-003 (Example)	User protection measures	34	SYS-002	Appeal route for students and parents	Done
KR-H-004 (Example)	Human management and supervision	34	SYS-002	`ai-data/human-oversight-design` HOD-2	Done
KR-H-005 (Example)	Documents showing the safety and trust measures	34	SYS-002	This assessment and linked records	Done
KR-H-006 (Example)	Effort to assess the impact on fundamental rights before use	35	SYS-002	`ai-data/ai-impact-assessment-42005` AIIA-03	Planned

7. Domestic representative (Article 36)

Threshold (see section 2)	Our figure for the prior year	Met?
Total revenue	Example: 180 billion KRW	No
Revenue from AI services	Example: 12 billion KRW	Yes
Average daily Korean users	Example: 140,000	No
Representative required?	Any one threshold met	Example: Yes

Representative: [name, address in Korea, date reported to MSIT].

8. Enforcement and action plan

ID	Action	Closes	Owner	Due	Status
ACT-001 (Example)	Add realistic-media notice to avatar videos	KR-T-003	[@product-lead]	YYYY-MM-DD	Open
ACT-002 (Example)	Publish explanation page for essay scores	KR-H-002	[@ml-lead]	YYYY-MM-DD	Open
ACT-003 (Example)	Complete impact assessment for SYS-002	KR-H-006	[@impact-lead]	YYYY-MM-DD	Open
ACT-004 (Example)	Designate and report domestic representative	Section 7	[@legal]	YYYY-MM-DD	Open

Track the Korean entries alongside other jurisdictions in compliance/ai-regulatory-applicability-register.

9. References

Framework Act on the Development of Artificial Intelligence and the Establishment of a Foundation for Trust, Act No. 20676 (2025), as amended by Act No. 21311 (2026): Korean text at https://www.law.go.kr and English translation by the Korea Legislation Research Institute at https://elaw.klri.re.kr/eng_service/lawViewTitle.do?hseq=73499
Enforcement Decree of the Act and MSIT guidelines on transparency, high-impact AI confirmation, high-performance AI safety, operator responsibilities and impact assessment (Korean, on MSIT and law.go.kr).
Related templates: AI regulatory applicability register (compliance/ai-regulatory-applicability-register), AI content transparency plan (ai-data/ai-content-transparency-plan), AI risk assessment (ai-data/ai-risk-assessment), NIST AI RMF profile (ai-data/nist-ai-rmf-profile).

Standard and licence note

Based on the Framework Act on the Development of Artificial Intelligence and the Establishment of a Foundation for Trust of the Republic of Korea, as amended to Act No. 21311 (20 January 2026), with article numbers taken from the KLRI English translation, and on public summaries of the Enforcement Decree as checked in October 2026. All duties are paraphrased in original wording; no statutory text is reproduced. The organisation and figures are fictional. Check the current official text, the decree and MSIT guidelines, and consult a qualified Korean professional. This is a documentation format, not legal advice. Template licence: MIT.

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