Human-AI 협력 프로세스 기반의 증거기반 국가혁신 모니터링 연구

• 영문명: A Study on Human-AI Collaboration Process to Support Evidence-Based National Innovation Monitoring: Case Study on Ministry of Oceans and Fisheries
• 발행기관: 한국산업경영시스템학회
• 저자명: 임정선 배성훈 류길호 김상국
• 간행물 정보: 『산업경영시스템학회지』제46권 제2호, 22~31쪽, 전체 10쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2023.06.30

영문 초록

Governments around the world are enacting laws mandating explainable traceability when using AI(Artificial Intelligence) to solve real-world problems. HAI(Human-Centric Artificial Intelligence) is an approach that induces human decision-making through Human-AI collaboration. This research presents a case study that implements the Human-AI collaboration to achieve explainable traceability in governmental data analysis. The Human-AI collaboration explored in this study performs AI inferences for generating labels, followed by AI interpretation to make results more explainable and traceable. The study utilized an example dataset from the Ministry of Oceans and Fisheries to reproduce the Human-AI collaboration process used in actual policy-making, in which the Ministry of Science and ICT utilized R&D PIE(R&D Platform for Investment and Evaluation) to build a government investment portfolio.

목차

1. 서 론

2. 선행연구

3. 연구방법

4. 분석 및 결과

5. 결론

Acknowledgement

References

키워드

Topic Modeling Human-Centric Human-AI Collaboration