지능정보사회의 안전한 인공지능 서비스 구현을 위한 개인정보 침해대응 및 위기관리 컴플라이언스 개발에 관한 연구
A Study on Developing the Compliance for Infringement Response and Risk Management of Personal Information to Realize the Safe Artificial Intelligence Services in Artificial Intelligence Society
4
조회
0
다운로드
2
인용
0
참고문헌
키워드
초록
본 연구는 인공지능 서비스과정에서 개인정보를 포함한 데이터가 처리되고 있고, 그 과정에서 발생 가능한 개인정보 침해사고를 방지하기 위한 해결방안으로 개인정보 침해요인에 대응하는 위기관리 컴플라이언스를 마련하고자 한다. 이를 위해 먼저, 문헌조사 및 전문가 Delphi를 거쳐 처리과정을 범주화를 하였는데, 인공지능서비스 제공과정을 서비스기획·데이터 설계 및 수집과정, 데이터 전처리 및 정제과정, 알고리즘 개발 및 활용과정으로 구분하고, 3개 과정을 9단계의 개인정보처리단계로 다시 세분화하여 개인정보 침해요인을 구성하였다. 둘째, 조사한 개인정보 침해요인을 전문가 대상의 FGI, Delphi 등을 통해 선정하였다. 셋째, 각 개인정보 침해요인에 대한 심각도 및 발생가능성에 대해 전문가대상으로 설문조사하였으며, 94명의 응답결과에 대해 타당성 및 적정성을 검증하였다. 넷째, 인공지능 서비스에서의 개인정보 침해요인에 대한 적절한 위기관리 컴플라이언스를 제시하기 위해, 개인정보의 자산가치, 개인정보 침해요인, 개인정보침해사고 발생가능성을 활용하여 개인정보 침해위험도 산정방식을 마련하였으며, 이를 통해 점수등급에 따라 위험정도에 따른 개인정보 침해사고 대응방안을 제시하였다.
Abstract
This study tried to suggest crisis management compliance to prevent personal information infringement accidents that may occur in the process because the data including personal information is being processed in the artificial intelligence (AI) service process. To this end, first, the AI service provision process is divided into 3 processes such as service planning/data design and collection process, data pre-processing and purification process, and algorithm development and utilization process. And 3 processes are subdivided into 9 stages following to personal information processing stages to infringe personal information. All processes were investigated with literature and experts' Delphi. Second, the investigated personal information infringement factors were selected through FGI, Delphi, etc. for experts. Third, a survey was conducted with experts on the severity and possibility of each personal information infringement factor, and the validity and adequacy of the 94 responses were verified. Fourth, to present appropriate risk management compliance for personal information infringement factors in AI services, a method for calculating the risk level of personal information infringement is prepared by utilizing the asset value of personal information, personal information infringement factors, and the possibility of infringement accidents. Through this, the countermeasures for personal information infringement incidents were suggested according to the scored risk level.
참고문헌 (39)
- Personal Information Protection Committee, "Artificial Intelligence (AI) Personal Information Protection Self-Checklist", ~ (2021)
- "Overseas discussions on AI privacy issues" (2018)[URL]
- K. W. Kug, "Application examples by Artificial intelligence technology and industry", Weekly trend, 15~27 (2019)
- "Artificial Intelligence Is a Threat to Cybersecurity It's Also a Solution" (2018)[URL]
- Korea AI Company Status Survey Report, "National Information Society Agency", 1~119 (2017)
- "AI guidelines' from around the world will compete.. A small step domestically" (2021)[URL]
- Ethical issues arising from the police use of live facial recognition technology, "UK Biometrics and Forensics Ethics Group", Interim report of the Biometrics and Forensics Ethics Group Facial Recognition Working Group, ~ (2019)
- Artificial Intelligence: Australia's Ethics Framework, "Australian Government, Department of Industry, Science, Energy, and Resource", 1~76 (2019)
- J. L. Kim., "Relation between Artificial Intelligence and Information Security", Communications of the Korean Institute of Information Scientists and Engineers, 36(2), pp.14~17 (2018)
- D. S. Choi., "Artificial Intelligence and Fintech Security", Review of KIIC, 26(2), pp.35~38 (2016)
- D. S. Choi., "Artificial Intelligence and Security", The Journal of The Korean Institute of Communication Sciences, 34(10), pp.31~37 (2017)
- 홍은주, "신경망 학습에서 프라이버시 이슈 및 대응방법 분석", 디지털융복합연구, 17(7), pp.285~292 (2019), 한국디지털정책학회[DOI]
- S. H. Park, "Artificial Intelligence and Security Issues", Review of KIISC, 27(3), pp.27~32 (2017)
- 박철희, "AI 환경에서 모델 전도 공격에 안전한 차분 프라이버시 기술", 정보보호학회논문지, 29(3), pp.589~598 (2019), 한국정보보호학회[DOI]
- L.Floridi, "AI4People-An Ethical Framework for a Good AI Society: Opportunities, Risks", Principles, and Recommendations. Minds and Machines, 28, pp.689~707 (2018)[DOI]
- 신영진, "우리나라의 인공지능(AI)서비스를 위한 개인정보보호 개선방안", 융합정보논문지, 11(3), pp.20~33 (2021), 중소기업융합학회[DOI]
- 신영진, "AI서비스에서의 개인정보보호를 위한 책임과 원칙의 적용에 관한 연구", 한국범죄정보연구, 7(1), pp.45~74 (2021), 한국사회안전 범죄정보학회
- 송기복, "AI의 상용화와 개인정보 보호에 관한 논의 - 화상 데이터와 프로파일링을 중심으로 -", 시큐리티연구, (65), pp.453~476 (2020), 한국경호경비학회
- A study on the protection of personal information in the field of artificial intelligence and robotics, "J. H. Kim", Personal Information Protection Committee, ~ (2016)
- A Study on Improvement Plans for Personal Information Protection Policy for Fostering the Artificial Intelligence Industry, "Korea Internet & Security Agency", Service Proposal Request Form, ~ (2020)
- Personal Information Protection Committee &Korea Internet & Security Agency, "Artificial Intelligence and Personal Information Protection The 6th Pseudonym Information Expert Training Materials", ~ (2021)
- Threats, and countermeasures against the exploitation of artificial intelligence, "National Information Society Agency", NIA, ~ (2018)
- Attacking Artificial Intelligence, "M. Comiter", Harvard Kennedy School Belfer Center for Science and International Affairs, ~, pp.Harvard Kennedy School Belfer Center for Science and International Affairs 2019-08 (2019)
- Ministry of Science, Technology, and Information & National Information Society Agency, "A guide to building datasets for artificial intelligence learning", ~ (2021)
- Analysis of personal information infringement factors in the Internet of Things era and investigation of actual cases, "Personal Information Protection Commission", Personal Information Protection Committee, ~ (2015)
- The Paradox of Artificial Intelligence (AI) and Privacy: Focusing on AI Voice Assistants, "H. J. Shim", KISDI, ~ (2018)
- The final report on the development of AI dysfunction prevention technology by deceptive attacks, "B. G. Lee", Information and Communication Planning and Evaluation Institute, Ministry of Science and ICT, ~ (2021)
- D. H. Kim, "Security for IoT Service", The Journal of The Korean Institute of Communication Sciences, 30(8), pp.53~59 (2013)
- 전정훈, "사물 인터넷의 보안 위협 요인들에 대한 분석", 융합보안 논문지, 15(7), pp.47~53 (2015), 한국융합보안학회
- 신영진, "IoT서비스주체를 위한 개인정보보호 프레임워크 및 적합성 평가기준의 개발과적 용방안에 관한 연구", 한국지역정보화학회지, 23(2), pp.83~117 (2020), 한국지역정보화학회[DOI]
- S. J. Sohn, "A Study on the Artificial Intelligence Ethical Principle Classification Model", Proceeding of the Korean Association of Computer Education, 25(2), pp.111~114 (2021)
- Main contents of EU artificial intelligence (AI)regulation and protection of personal information, "Korea Internet & Security Agency", Monthly trend analysis of personal information protection, 1~15 (2021)
- 최경진, "빅데이터·사물인터넷 시대 개인정보보호법제의 발전적 전환을 위한 연구", 중앙법학, 17(4), pp.7~50 (2015), 중앙법학회[DOI]
- 김용대, "인공지능산업 육성을 위한 개인정보보호 규제 발전 방향", 경제규제와 법, 9(2), pp.161~176 (2016), 법학연구소
- 임채호, "심리적 보안관점에서의 사이버범죄 프로파일링", 정보보호학회논문지, 19(4), pp.115~124 (2009), 한국정보보호학회
- General Data Protection Regulation, "EU", ~ (2016)
- Personal Information Protection Commission &Korea Internet & Security Agency, "Personal Information Impact Assessment Performance Guide", ~ (2020)
- "Severity evaluation criteria (draft) for critical infrastructure service failures due to cyber attacks" (2018)[URL]
- Main contents of EU artificial intelligence (AI)regulation and protection of personal information, "Korea Internet & Security Agency", Personal Information Protection Monthly Trend Analysis, 1~15, pp.Personal Information Protection Monthly Trend Analysis 5 (2021)