{"slug":"south-korea-ai-basic-act-art-34-high-impact-ai-explanation-measures","id":"AIPT-OBL-0064","permanent_url":"https://aipolicytracker.org/id/AIPT-OBL-0064","title":"Operators of high-impact AI must be able to explain outputs and the main criteria behind them","short_title":"Explaining high-impact AI outputs","category":"transparency","summary":"Operators of high-impact AI must put in place measures to explain the AI's final results, the main criteria used to reach them, and an overview of the training data, to the extent that this is technically feasible. The duty targets explainability of the system's decisions to users and affected people rather than full disclosure of the model.\n","practical_action":"Document the decision criteria and training-data overview for each high-impact system and prepare a user-facing explanation format.\n","is_binding":true,"applies_from":"2026-01-22","section":null,"source_reference":"Article 34(1)","official_source_url":"https://www.law.go.kr/lsInfoP.do?lsiSeq=268543","review_status":"verified","confidence_level":"medium","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","actors":["provider","deployer","public_authority"],"sectors":["cross_sector","employment","financial_services","healthcare","education","public_services"],"use_cases":["hiring_and_hr","health","finance_and_credit","education","public_services"],"applicability":[{"description":"AI business operators providing high-impact AI or products and services based on it.","actors":["provider","deployer","public_authority"],"conditions":null}],"evidence_examples":[{"title":"Explanation method and decision-criteria documentation","description":null,"artifact_type":"document"}],"framework_mappings":[{"framework":"nist_ai_rmf","framework_name":"NIST AI RMF 1.0","reference":"MEASURE 2.9, GOVERN 5.1","note":"Explainability and communication to affected parties.","confidence_level":"medium","is_original":true},{"framework":"iso_42001","framework_name":"ISO/IEC 42001:2023","reference":"Annex A.8.2, A.7.3","note":"System documentation and data documentation.","confidence_level":"low","is_original":true}],"controls":[{"slug":"decision-explanation-and-appeal-route","title":"Decision explanation, human review and appeal route","kind":"process","relationship":"satisfies","note":"Explanation of results and criteria to affected people.","confidence_level":"medium","url":"https://aipolicytracker.org/controls/decision-explanation-and-appeal-route"},{"slug":"technical-documentation-and-model-cards","title":"Technical documentation, model cards and instructions for use","kind":"process","relationship":"supports","note":"Training-data overview and decision logic documented.","confidence_level":"high","url":"https://aipolicytracker.org/controls/technical-documentation-and-model-cards"}],"url":"https://aipolicytracker.org/obligations/south-korea-ai-basic-act-art-34-high-impact-ai-explanation-measures","policy":{"slug":"south-korea-framework-act-on-the-development-of-artificial-intelligence-and-establishment-of-a-foundation-for","title":"Framework Act on the Development of Artificial Intelligence and Establishment of a Foundation for Trust (AI Basic Act, Act No. 20676)","status":"in_force","jurisdiction":"south-korea","url":"https://aipolicytracker.org/policies/south-korea-framework-act-on-the-development-of-artificial-intelligence-and-establishment-of-a-foundation-for"}}