{"count":9,"license":"CC BY 4.0","licenseUrl":"https://creativecommons.org/licenses/by/4.0/","attribution":"AIO — AI Integrity Organization, https://aioq.org, CC BY 4.0","papers":[{"id":"paper-a","track":"Foundational","year":"2026","title":{"en":"AI Integrity: A Foundational Concept"},"abstract":{"en":"A conceptual starting point that defines AI Integrity not as a single score but as a distribution across three axes — value, evidence, and source. It provides the theoretical foundation for turning safety and alignment discourse into measurable infrastructure.","ko":"AI 무결성(AI Integrity)을 단일 점수가 아닌 가치·증거·출처 세 축의 분포로 정의하는 개념적 출발점. 안전·정렬 담론을 측정 가능한 인프라로 전환하는 이론적 기반을 제공합니다."},"pdfUrl":"https://aioq.org/papers/paper-a-ai-integrity-concept.pdf","landingUrl":"https://aioq.org/en/research#paper-a","license":"CC BY 4.0","licenseUrl":"https://creativecommons.org/licenses/by/4.0/","citation":"AIO — AI Integrity Organization (2026). AI Integrity: A Foundational Concept. https://aioq.org/papers/paper-a-ai-integrity-concept.pdf. CC BY 4.0."},{"id":"paper-b","track":"Empirical","year":"2026","title":{"en":"Empirical Validation of the AIO Framework"},"abstract":{"en":"An empirical study that quantitatively validates whether the AIO Framework vocabulary and code format work on real AI responses across diverse domains.","ko":"AIO 00011 공통 어휘 사전과 코드 형식이 다양한 도메인의 실제 AI 응답에서 작동하는지 정량적으로 검증한 실증 연구."},"pdfUrl":"https://aioq.org/papers/paper-b-empirical.pdf","landingUrl":"https://aioq.org/en/research#paper-b","license":"CC BY 4.0","licenseUrl":"https://creativecommons.org/licenses/by/4.0/","citation":"AIO — AI Integrity Organization (2026). Empirical Validation of the AIO Framework. https://aioq.org/papers/paper-b-empirical.pdf. CC BY 4.0."},{"id":"paper-c","track":"Framework","year":"2026","title":{"en":"AIO 20013 Risk Signal: A Standard Reporting Card for AI Systems"},"abstract":{"en":"Defines the format, issuance process, and validation rules of a standard card (the AIO 20013 Risk Signal Card) with which companies and institutions can issue, on a single page, their AI's distribution of values, evidence, and sources along with its blind spots.","ko":"기업·기관이 자사 AI 의 가치·증거·출처 분포와 사각지대를 한 페이지로 발급하는 표준 카드 (AIO 20013 Risk Signal Card) 의 형식·발급 절차·검증 규칙 정의."},"pdfUrl":"https://aioq.org/papers/paper-c-risk-signal-card.pdf","landingUrl":"https://aioq.org/en/research#paper-c","license":"CC BY 4.0","licenseUrl":"https://creativecommons.org/licenses/by/4.0/","citation":"AIO — AI Integrity Organization (2026). AIO 20013 Risk Signal: A Standard Reporting Card for AI Systems. https://aioq.org/papers/paper-c-risk-signal-card.pdf. CC BY 4.0."},{"id":"paper-e","track":"Policy","year":"2026","title":{"en":"AIO Framework and AI Legislation: A Compliance-Ready Logging Standard"},"abstract":{"en":"How to map and satisfy the logging and transparency requirements of major AI regulatory frameworks — the EU AI Act, NIST AI RMF, ISO/IEC 42001, and Korea's AI Framework Act — using the AIO Framework standard.","ko":"EU AI Act, NIST AI RMF, ISO/IEC 42001, 한국 AI 기본법 등 주요 AI 규제 프레임워크의 로깅·투명성 요구를 AIO 20002으로 매핑·충족시키는 방법."},"pdfUrl":"https://aioq.org/papers/paper-e-legislation.pdf","landingUrl":"https://aioq.org/en/research#paper-e","license":"CC BY 4.0","licenseUrl":"https://creativecommons.org/licenses/by/4.0/","citation":"AIO — AI Integrity Organization (2026). AIO Framework and AI Legislation: A Compliance-Ready Logging Standard. https://aioq.org/papers/paper-e-legislation.pdf. CC BY 4.0."},{"id":"paper-f","track":"Governance","year":"2026","title":{"en":"Democracy and AI: AIO Framework as a Public Vocabulary for Algorithmic Accountability"},"abstract":{"en":"A governance argument for using AIO Framework's measurable public vocabulary to address a structural flaw in democratic accountability — the problem that AI's political use is expanding while its value hierarchies remain opaque.","ko":"민주적 책무성의 구조적 결함 — AI 의 정치적 사용이 확대되는데 가치 위계는 불투명한 문제 — 를 AIO Framework 의 측정 가능한 공적 어휘로 해결하는 거버넌스 논증."},"pdfUrl":"https://aioq.org/papers/paper-f-democracy.pdf","landingUrl":"https://aioq.org/en/research#paper-f","license":"CC BY 4.0","licenseUrl":"https://creativecommons.org/licenses/by/4.0/","citation":"AIO — AI Integrity Organization (2026). Democracy and AI: AIO Framework as a Public Vocabulary for Algorithmic Accountability. https://aioq.org/papers/paper-f-democracy.pdf. CC BY 4.0."},{"id":"paper-g","track":"Standard","year":"2026","title":{"en":"The AIO 20002"},"abstract":{"en":"A standard specification document defining AIO Framework's V/E/S/C code format, BNF grammar, vocabulary (Schwartz 19 + Walton 10 + Hovland-Kelley 10), and validation rules.","ko":"AIO Framework 의 V/E/S/C 코드 형식, BNF 문법, 어휘 사전 (Schwartz 19 + Walton 10 + Hovland-Kelley 10), 검증 규칙을 정의하는 표준 명세 문서."},"pdfUrl":"https://aioq.org/papers/paper-g-aio-20002.pdf","landingUrl":"https://aioq.org/en/research#paper-g","license":"CC BY 4.0","licenseUrl":"https://creativecommons.org/licenses/by/4.0/","citation":"AIO — AI Integrity Organization (2026). The AIO 20002. https://aioq.org/papers/paper-g-aio-20002.pdf. CC BY 4.0."},{"id":"paper-h","track":"Benchmark","year":"2026","title":{"en":"AIO Framework-Bench: Measuring Value, Evidence, and Source Hierarchies in Frontier AI Systems"},"abstract":{"en":"The first public benchmark to measure and compare V/E/S distributions across 8 frontier models and 366,120 responses. It quantifies the degree of disagreement in value hierarchies between models and automatically detects blind spots by domain and demographic.","ko":"8 frontier 모델 × 366,120 응답에서 V/E/S 분포를 측정·비교한 첫 공개 벤치마크. 모델 간 가치 위계의 불일치 정도를 정량화하고, 도메인·인구통계별 사각지대를 자동 검출."},"pdfUrl":"https://aioq.org/papers/paper-h-aio-20003.pdf","landingUrl":"https://aioq.org/en/research#paper-h","license":"CC BY 4.0","licenseUrl":"https://creativecommons.org/licenses/by/4.0/","citation":"AIO — AI Integrity Organization (2026). AIO Framework-Bench: Measuring Value, Evidence, and Source Hierarchies in Frontier AI Systems. https://aioq.org/papers/paper-h-aio-20003.pdf. CC BY 4.0."},{"id":"paper-i","track":"Safety","year":"2026","title":{"en":"Decision-Audit Substrate for Safe Embodied AI: The AIO 20002"},"abstract":{"en":"A methodology that applies the AIO Framework standard to embodied AI systems performing physical actions (robots, autonomous driving, medical devices) to enable decision-audit trails.","ko":"물리적 행동을 수행하는 embodied AI 시스템 (로봇·자율주행·의료기기) 에 AIO 20002을 적용하여 결정 감사 추적을 가능하게 하는 방법론."},"pdfUrl":"https://aioq.org/papers/paper-i-aio-20002-ijcai.pdf","landingUrl":"https://aioq.org/en/research#paper-i","license":"CC BY 4.0","licenseUrl":"https://creativecommons.org/licenses/by/4.0/","citation":"AIO — AI Integrity Organization (2026). Decision-Audit Substrate for Safe Embodied AI: The AIO 20002. https://aioq.org/papers/paper-i-aio-20002-ijcai.pdf. CC BY 4.0."},{"id":"paper-j","track":"Governance","year":"2026","title":{"en":"A Common Language for AI: A Three-Tier Measurement Vocabulary for Multi-Stakeholder Accountability"},"abstract":{"en":"Proposes a three-tier measurement vocabulary that lets four groups — ethics, clinical, patient, and policy — discuss accountability using the same vocabulary. It argues for AIO Framework's legitimacy at the governance level.","ko":"윤리·임상·환자·정책 4 그룹이 동일한 어휘로 책무성을 논의할 수 있는 세 계층 측정 어휘를 제안. 거버넌스 차원에서 AIO Framework 의 정당성을 논증."},"pdfUrl":"https://aioq.org/papers/paper-j-aio-00011.pdf","landingUrl":"https://aioq.org/en/research#paper-j","license":"CC BY 4.0","licenseUrl":"https://creativecommons.org/licenses/by/4.0/","citation":"AIO — AI Integrity Organization (2026). A Common Language for AI: A Three-Tier Measurement Vocabulary for Multi-Stakeholder Accountability. https://aioq.org/papers/paper-j-aio-00011.pdf. CC BY 4.0."}]}