논문KCI 등재
A Conceptual Architecture for Ethic-Friendly AI
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
주제분류컴퓨터학
초록
최첨단 AI 시스템은 방대한 데이터 수집에서 알고리즘 편향에 이르기까지 많은 윤리적 문제를드러내고 있다. 이에 본 논문에서는 연합학습과 블록체인을 결합하여, 더 윤리적인 AI 아키텍처를제안하였다. AI의 윤리성에 관한 중요한 문제들을 논의하고, 문헌조사를 통하여 윤리적 AI 시스템에 대한 요구사항을 연구하고 도출한다. 제안한 아키텍처의 요구사항 만족을 분석하였다. 제안한AI 구조를 디자인에 채택함으로써 AI 서비스를 보다 윤리적으로 수행할 수 있다.
Abstract
The state-of-the-art AI systems pose many ethical issues ranging from massive data collection to bias in algorithms. In response, this paper proposes a more ethic-friendly AI architecture by combining Federated Learning(FL) and Blockchain. We discuss the importance of each issues and provide requirements for an ethical AI system to show how our solutions can achieve more ethical paradigms. By committing to our design, adopters can perform AI services more ethically.
참고문헌 (21)
- M. Goddard, "The EU general data protection regulation (gdpr):European regulation that has a global impact", International Journal of Market Research, 59(6), pp.703~705 (2017)[DOI]
- "China’s social credit system could interfere in other nations’ sovereignty" (2018)[URL]
- "South Korean AI chatbot pulled from facebook after hate speech towards minorities" (2021)[URL]
- "Amazon ditched ai recruiting tool that favored men for technical jobs" (2018)[URL]
- B. McMahan, "Communication-efficient learning of deep networks from decentralized data", Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 54, pp.1273~1282 (2017), PMLR
- G. Wood, "Ethereum: A secure decentralised generalised transaction ledger", Ethereum project yellow paper, 151(2014), pp.1~32 (2014)
- L. Floridi, "What is data ethics?", Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 374(2083), pp.20160360~ (2016)[DOI]
- "Dataethics – principles and guidelines for companies, authorities, and organisations" (2018)[URL]
- "Ethics guidelines for trustworthy AI" (2019)[URL]
- "Responsible AI practices" (2020)[URL]
- J. Benet, "Ipfs-content addressed, versioned, p2p file system", ~ (2014)
- "The Ethics of AI Ethics: An Evaluation of Guidelines"[URL]
- "Your Data Is Shared and Sol d…What’s Being Done About It?" (2019)[URL]
- "Preparing for the future of artificial intelligence" (2016)[URL]
- Li Z, "CrowdSFL: A Secure Crowd Computing Framework Based on Blockchain and Federated Learning", Electronics, 9(5), pp.773~ (2020)
- Umer M., "FLchain: Federated Learning via MEC-enabled Blockchain Network", 20th Asia-Pacific Network Operations and Management Symposium: Management in a Cyber-Physical World, APNOMS 2019, pp.1~4 (2019)
- Jiasi W., "DeepChain: Auditable and Privacy-Preserving Deep Learning with Blockchain-based Incentive", IEEE Transactions on Dependable and Secure Computing, 14(8), pp.1~ (2019)
- Jonathan P. P., "A blockchain orches-trated federated learning architecture for healthcare consortia", ~ (2019)
- Nguyen Q. H, "Resource Management for Blockchain enabled Federated Learning: A Deep Reinforcement Learning Approach", ~ (2020)
- Y. L. Lu, "Low-latency Federated Learning and Blockchain for Edge As-sociation in Digital Twin empowered 6G Networks", IEEE Transactions on Industrial Informatics, 17(7), pp.5098~5107 (2020)[DOI]
- Abreha, H. G., "Federated Learning in Edge Computing: A Systematic Survey", Sensors, 22(2), pp.450~ (2022)[DOI]
관련 논문AI추천
AI와 윤리: 문헌의 종합적 분석과 정보시스템 분야의 향후 연구 방향민진영한국지식경영학회 · 지식경영연구2024 · 제25권 제3호AI 윤리 기준을 활용한 AI 윤리교육 방안 연구이인재한국초등도덕교육학회 · 초등도덕교육2022 · 제76호인공지능 서비스의 프라이버시 침해에 관한 연구이한성, 조영복한국실천공학교육학회 · 실천공학교육논문지2025 · 제17권 제5호인공지능(AI)의 학습용 데이터 윤리 프레임워크 개발에 관한 연구김정남, 방은찬, 송선영, 장희영한국윤리학회 · 倫理硏究2023 · 제1권 제140호블록체인 기반의 연합학습 구현박종서, 박준범사)한국빅데이터학회 · 한국빅데이터학회 학회지2020 · 제5권 제1호Suggestion of Building the AI Code of ETHICS through Deep Learning and Big Data Based AI김현수동북아학술저널연합 · Robotics & AI Ethics2021 · 제6권 제1호