정보화정책 (Informatization Policy)

한국지능정보사회진흥원 (National Information Society Agency)
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인공지능과 블록체인 융합 동향 및 정책 개선방안

Artificial Intelligence and Blockchain Convergence Trend and Policy Improvement Plan

  • 투고 : 2020.02.17
  • 심사 : 2020.03.19
  • 발행 : 2020.06.30
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초록

인공지능과 블록체인은 4차산업혁명을 이끌어 갈 핵심기술로 각광을 받으며 발전하고 있다. 그러나 아직까지 인공지능은 데이터 확보 및 검증, 결과값에 대한 근거 설명 등에서 한계를 보이고 있고 블록체인 역시 과다한 에너지 소모, 데이터 관리의 유연성 부족 등이 확산을 저해하는 단점으로 꼽히고 있다. 이에 본 연구는 상호보완적인 성격을 지닌 인공지능과 블록체인의 기술 및 산업 동향과 한계점, 그리고 이를 극복하기 위한 기술융합 방안을 분석하고 정책 개선방안을 제시하였다. 구체적으로 혁신정책 관점을 적용해 연구개발(R&D) 강화 측면에서 1) 국가 차원의 중장기 인공지능/블록체인 융합 연구 추진, 2) 블록체인 기반 인공지능 데이터 플랫폼 구축, 혁신 생태계 조성 측면에서 3) 산업별 인공지능/블록체인 융합 응용 발굴 지원, 4) 인공지능/블록체인 융합 비즈니스 모델 개발 스타트업 지원, 법제도 개선 측면에서 5) 규제 샌드박스 확대 적용, 6) 개인정보보호 관련 규제 정비를 제안하였다.

Artificial intelligence(AI) and blockchain are developing as the core technology leading the Fourth Industrial Revolution. However, AI is still showing limitations in securing and verifying data and explaining the evidence for the results, and blockchain also has some drawbacks such as excessive energy consumption and lack of flexibility in data management. This study analyzed technological limitations of AI and blockchain and convergence trends to overcome them, and finally suggested ways to improve Korea's related policies. Specifically, in terms of R&D reinforcement, we proposed 1) mid- and long-term AI /blockchain convergence research at the national level and 2) blockchain-based AI data platform development. In terms of creating an innovative ecosystem, we also suggested 3) development of AI/blockchain convergence applications by industry, and 4) Start-up support for developing AI/blockchain convergence business models. Lastly, in terms of improving the legal system, we insisted that 5) widening the application of regulatory sandboxes and 6) improving regulations related to privacy protection is necessary.

키워드

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