생성형 인공지능 관련 범죄 위협 분류 및 대응 방안
Taxonomy and Countermeasures for Generative Artificial Intelligence Crime Threats
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생성형 인공지능은 현재 빠른 속도로 발전하고 있고, 산업적으로도 확대되고 있다. 생성형 인공지능의 발전은 대부분의 산업 분야에서 생산성을 향상시킬 수 있을 것이라 기대되고 있다. 그러나 생성형 인공지능은 악용될 수 있으며, 실제로 범죄까지 이어지는 사례들이 등장하고 있다. 빠르게 발전하는 인공지능의 속도에 비해 이를 규제할 수 있는 법안이 존재하지 않는다. 국내의 경우, 법률제정을 위한 생성형 인공지능 기술과 관련된 범죄 및 위험에 대한 분류가 명확하게 이루어지지 않은 상황이다. 이에 본 연구에서는 생성형 인공지능 관련 범죄를 기존 사이버범죄 분류법에 착안하여 생성형 인공지능 침해범죄 위협, 생성형 인공지능 이용범죄 위협, 기타 인공지능 관련 위협으로 구분하고자 하였다. 또한, 범죄 및 위험에 대한 기술적 대응 방안을 인공지능 개발 단계별로 제시하여 현실성 있는 위협 대응 방안을 다루었다. 법·제도적 개선사항을 통해 생성형 인공지능 범죄에 대한 개발사의 책임과 데이터 수집 방법론의 법제화 등을 제시하였다.
Abstract
Generative artificial intelligence is currently developing rapidly and expanding industrially. The development of generative AI is expected to improve productivity in most industries. However, there is a probability for exploitation of generative AI, and cases that actually lead to crime are emerging. Compared to the fast-growing AI, there is no legislation to regulate the generative AI. In the case of Korea, the crimes and risks related to generative AI has not been clearly classified for legislation. In addition, research on the responsibility for illegal data learned by generative AI or the illegality of the generated data is insufficient in existing research. Therefore, this study attempted to classify crimes related to generative AI for domestic legislation into generative AI for target crimes, generative AI for tool crimes, and other crimes based on ECRM. Furthermore, it suggests technical countermeasures against crime and risk and measures to improve the legal system. This study is significant in that it provides realistic methods by presenting technical countermeasures based on the development stage of AI.
참고문헌 (51)
- "ChatGPT sets record for fastest-growing user base-analyst note"[URL]
- Lim Yeongshin, "2023 Key Issues and Meaning for Generative AI", KISDI Perspectives, (3), pp.1~13 (2023)
- "Leaked LLaMA Unveils the Power of Open Source for AI"[URL]
- "High schooler calls for AI regulations after manipulated pornographic images of her and others shared online"[URL]
- "A sci-fi magazine has cut off submissions after a flood of AI-generated stories"[URL]
- Interpol, "ChatGPT Impacts on Law Enforcement", ~ (2023)
- Ahn SungMahn, "Deep Learning Architectures and Applications", Journal of Intelligence and Information Systems, 22(2), pp.127~142 (2016)
- Lee Seungchul, "Deep Learning", Journal of KSNVE, 27(3), pp.19~25 (2017)
- Kitae Kim, "Feasibility of Deep Learning Algorithms for Binary Classification Problems", Journal of Intelligence and Information Systems, 23(1), pp.95~108 (2017)
- Joyjit Chatterjee, "This new conversational AI model can be your friend, philosopher, and guide... and even your worst enemy", Patterns, 4(1) (2023)
- Sumit Pandey, "A comparative study of retrieval-based and generative-based chatbots using Deep Learning and Machine Learning", Healthcare Analytics, 3(100198) (2023)
- Blauth, T. F., "A. Artificial intelligence crime: An overview of malicious use and abuse of AI", IEEE Access, 10, pp.77110~77122 (2022)
- D. Jeong, "Artificial Intelligence Security Threat, Crime, and Forensics : Taxonomy and Open Issues", IEEE Access, 8, pp.184560~184574 (2020)
- Generative AI Industry Status Report, "Younghee Kim", Korea Copyright Commission, ~ (2023)
- Jinho Yoo, "An Analysis of the Arrival of AI-Centered Society and Security Issues", KISA Insight, 2022(3) (2022)
- "Reporting content under Article 6-4 of the LCEN"[URL]
- Analysis of the European Union Digital Service Act on Copyright and its implications for Korea's system, "Park Yunsuk", ~, pp.Copyright Issue report 2022-30 (2022)
- "Cyber crime classification"[URL]
- "Usage policies"[URL]
- Oh Sojeong, "The possibility and countermeasures of cyber attack using ChatGPT", 2023 Korea Institute of Digital Forensics Summer Conference, pp.303~324 (2023)
- "'Deepfake'scam in China fans worries over AI-driven fraud"[URL]
- Lin, Z., "Idsgan : Generative adversarial networks for attack generation against intrusion detection", Pacific-asia conference on knowledge discovery and data mining, pp.79~91 (2022)
- "Fake viral images of an explosion at the Pentagon were probably created by AI"[URL]
- "AI ‘Tom Cruise’ joins fake news barrage targeting olympics"[URL]
- "Digital sex crimes, portrait rights infringement will be easier to punish"[URL]
- Tramèr, F., "Stealing machine learning models via prediction APIs", 25th USENIX security symposium (USENIX Security 16), pp.601~618 (2016)
- Wu, Bang, "Model extraction attacks on graph neural networks: Taxonomy and realisation", the 2022 ACM on Asia Conference on Computer and Communications Security, pp.337~350 (2022)
- Fredrikson, M., "Model inversion attacks that exploit confidence information and basic countermeasures", the 22nd ACM SIGSAC conference on computer and communications security, pp.1322~1333 (2015)
- Schneider, J., "Towards AI forensics: Did the artificial intelligence system do it?", Journal of Information Security and Applications, 76, pp.103517~ (2023)
- "The Korean Government Should Not Grant a Copyright of AI’s Creations"[URL]
- Young-Hoa Son, "A Study on Creation by Generative AI and Copyright", Journal of Law and Politics research, 23(3), pp.357~289 (2023)
- "Three Samsung employees reportedly leaked sensitive data to ChatGPT"[URL]
- "South Korean AI chatbot pulled from Facebook after hate speech towards minorities"[URL]
- "Racial and Gender Bias Lessons Learned from Midjourney and Disordered Eating Prompts"[URL]
- "He Would Still Be Here:Man Dies by Suicide After Talking with AI Chatbot, Widow Says"[URL]
- "OpenAI sued for defamation after ChatGPT fabricates legal accusations against radio host"[URL]
- Shen, Z., "Stable learning via sample reweighting", Proceedings of the AAAI Conference on Artificial Intelligence, pp.5692~5699 (2020)
- Shirokikh, B., "Universal loss reweighting to balance lesion size inequality in 3D medical image segmentation", Medical Image Computing and Computer Assisted Intervention–MICCAI 2020, pp.523~532 (2020)
- Roh, Y., "Fairbatch: Batch selection for model fairness", Proceedings of the 9th International Conference on Learning Representations (ICLR) (2020)
- Seungmin, Lee, "Trends and Industrial Implications of Joint Learning Technology", ETRI insight (2020)
- Ministry of Science and ICT, "Strategy to realize trustworthy artificial intelligence", ~ (2021)
- European Commission, "Ethics Guidelines for Trustworthy Artificial Intelligence", ~ (2019)
- United States Office of Management and Budget, "Guidance for Regulation of Artificial Intelligence Applications", ~ (2020)
- Li, B., "Trustworthy AI: From principles to practices", ACM Computing Surveys, 55(9), pp.1~46 (2023)
- European Commision, "The final Assessment List for Trustworthy AI (ALTAI)", ~ (2020)
- Telecommunications Technology Association, "2022 Guide for Developing Trustworthy AI", ~ (2022)
- Financial Security Institution, "AI Security Guidelines in Financial Sector", ~ (2023)
- Digital Services Act: Commission designates first set of Very Large Online Platforms and Search Engines, "European Commission", ~ (2023)
- Wojciech Samek, "Explainable AI: Interpreting, Explaining and Visualizing Deep Learning", pp.121~144 (2019)
- Eunyoung Yang, "Necessity of regulation on the development and use of generative AI - Focusing on Large language Models conversational A.I. services (LLMs AI)", Sungkyunkwan Law, 35(2), pp.293~325 (2023)