성공적 갈등관리를 위한 인공지능 활용 전략 연구
A Study on the Artificial Intelligence Utilization Strategies for Successful Conflict Management
0
조회
0
다운로드
2
인용
0
참고문헌
키워드
초록
(Purpose) The purpose of this study is to explore the conditions for successful alternative conflict management(ADR) based on conflict management cases using the artificial intelligence(AI). (Design/methodology/approach) Research methods are literature investigation and case studies. From the literature review, we have derived conditions for successful ADR. After that. analyzing the in-depth studies of three cases of conflict management using the AI. As a result, it reveals the implications of AI for ADR. (Findings) The recent development of the fourth industrial revolution and the development of digital technology have secured the possibility of applying artificial intelligence technology to public conflict management. We analyze three cases of conflict management using artificial intelligence technology. It shows how a theoretical framework for ADR is supported by artificial intelligence technology. If artificial intelligence technology is properly applied, evidence-based public conflict management can be reasonably controlled. Furthermore, horizontal governance can be ensured in the process of forming a panel based on untact digital platforms. (Research implications or Originality) First, extensive data collection based on evidence-based science enhances the resolution of conflict management through machine learning. Second, AI enables objective and non-face-to-face conflict management. This will contribute to the rational management of conflicts. Finally, quick interactions based on digital technology will increase the likelihood of consensus among parties to the conflict.
Abstract
(Purpose) The purpose of this study is to explore the conditions for successful alternative conflict management(ADR) based on conflict management cases using the artificial intelligence(AI). (Design/methodology/approach) Research methods are literature investigation and case studies. From the literature review, we have derived conditions for successful ADR. After that. analyzing the in-depth studies of three cases of conflict management using the AI. As a result, it reveals the implications of AI for ADR. (Findings) The recent development of the fourth industrial revolution and the development of digital technology have secured the possibility of applying artificial intelligence technology to public conflict management. We analyze three cases of conflict management using artificial intelligence technology. It shows how a theoretical framework for ADR is supported by artificial intelligence technology. If artificial intelligence technology is properly applied, evidence-based public conflict management can be reasonably controlled. Furthermore, horizontal governance can be ensured in the process of forming a panel based on untact digital platforms. (Research implications or Originality) First, extensive data collection based on evidence-based science enhances the resolution of conflict management through machine learning. Second, AI enables objective and non-face-to-face conflict management. This will contribute to the rational management of conflicts. Finally, quick interactions based on digital technology will increase the likelihood of consensus among parties to the conflict.
참고문헌 (55)
- An, Soon-Cheol, "Theories and Practices of ADR: The US Experience and Its Application to Korean Society", Dispute Resolution Studies Review, 1, pp.5~38 (2003)
- 조은영, "기초자치단체 갈등해소 전략: 금천구 주민참여연구단을 중심으로", 한국공공관리학보, 31(4), pp.43~68 (2017), 한국공공관리학회[DOI]
- Choi, Eun-Chang, "Algorithm Governance", FUTURE HORIZON, 33, pp.28~31 (2017)
- 최영준, "공공정책에서 어떻게 합의를 이끌어 낼 것인가?: 공무원연금 개혁 과정 분석", 한국행정학보, 51(3), pp.359~387 (2017), 한국행정학회[DOI]
- 하혜영, "공공갈등연구의 경향과 과제", 한국사회와 행정연구, 20(2), pp.163~186 (2009), 서울행정학회
- "I want to change the relationship between citizens and the government" (2016)[URL]
- 정정화, "공공갈등과 합의형성 : 심의민주주의 방식의 적용과 한계", 한국행정논집, 23(2), pp.577~604 (2011), 한국정부학회
- 정정화, "공론화를 통한 사회적 합의형성의 성공조건", 한국정책과학학회보, 22(1), pp.101~124 (2018), 한국정책과학학회[DOI]
- 강지선, "도시재생 공론화 과정 연구: ‘서울로 7017사업’을 중심으로", 한국지역개발학회지, 30(3), pp.87~116 (2018), 한국지역개발학회
- 김병조, "행정-정책 의사결정에서 머신러닝(machine learning) 방법론 도입의 정책적 함의: 기계의 한계와 증거기반 의사결정(evidence-based decision-making)", 한국행정학보, 54(1), pp.261~285 (2020), 한국행정학회[DOI]
- 김병운, "인공지능 동향분석과 국가차원 정책제언", 정보화정책, 23(1), pp.74~93 (2016), 한국지능정보사회진흥원[DOI]
- 김학린, "공공갈등 예방과 숙의적 공공협의 : 프랑스 국가공공토론위원회, 스웨덴 알메달렌 정치주간, 미국 21세기 타운홀미팅, 2014 국민대토론회의 비교를 중심으로", 분쟁해결연구, 13(1), pp.5~32 (2015), 분쟁해결연구센터[DOI]
- Kim, Kwang-Koo, "Exploring Communication and Conflict Cases" (2014)
- 김태수, "사회적 합의기구로서의 노사정위원회의 위상에 관한 관점별 검토", 한국행정학보, 40(4), pp.205~224 (2006), 한국행정학회
- 김예린, "한국의 갈등관련 연구경향 분석: 사회과학분야의 주요 학술지 수록 연구를 중심으로", 한국공공관리학보, 33(2), pp.237~263 (2019), 한국공공관리학회[DOI]
- 이성우, "후기 실증주의와 질적 연구방법의 정책분석평가연구에의 적용가능성", 정책분석평가학회보, 18(4), pp.15~42 (2008), 한국정책분석평가학회[DOI]
- Lee, Sun-Woo, "Introduction to Alternative Conflict Resolution Techniques and Cases", The Quarterly Journal of Defense Policy Studies, 49, pp.237~262 (2000)
- Lee, Sun-Woo, "Conflict Management and Governance : Focusing on the Coordination Process", Journal of Governance Studies, 2(2), pp.78~106 (2007)
- 이선우, "원활한 갈등조정을 위한 필요조건 - 경험으로부터의 교훈 -", 한국정책학회보, 20(3), pp.87~106 (2011), 한국정책학회
- 이선우, "송 ・ 변전설비 건설갈등해소를 위한 과정과 선택: 밀양 765kV 송전선로건설관련 갈등조정위원회운영사례를 중심으로", 한국정책과학학회보, 16(2), pp.183~212 (2012), 한국정책과학학회[DOI]
- Analysis of Alternative Dispute Resolution Systems in Korea and Policy Improvement Measures, "Lim, Dong-Jin", The Korea Institute of Public Administration, ~, pp.2012-39 (2012)
- 임동진, "행정형 ADR기구의 운영실태 및 개선방안 연구", 한국행정학보, 47(3), pp.129~155 (2013), 한국행정학회
- 박휘락, "미국 사드의 한국 배치 논란에서 드러난 오인식(misperception)과 집단사고(groupthink) 분석", 국가정책연구, 29(3), pp.25~48 (2015), 국가정책연구소[DOI]
- 박재근, "공공갈등 해결과정에서 조정의 성립과 합의 형성에 영향을 미치는 요인 연구: 경북 울진군 신화1리 집단이주 갈등조정 사례를 중심으로", 한국정책학회보, 25(2), pp.529~558 (2016), 한국정책학회
- 박영환, "한국 국회의 실질적 대표성 증진의 조건: 여성 관련 법안 사례", 21세기정치학회보, 28(2), pp.69~92 (2018), 21세기정치학회[DOI]
- 심준섭, "공공갈등에 대한 대안적 분쟁해결(ADR) 프로세스의 장기화 요인 분석", 분쟁해결연구, 13(1), pp.33~62 (2015), 분쟁해결연구센터[DOI]
- 서문기, "사회적 합의형성에 관한 이론적 소고:분석틀과 정책적 함의", 행정논총, 45(4), pp.1~22 (2007), 한국행정연구소
- Bingham, T., "The Rule of Law" (2011), Penguin
- Bohman, J., "Deliberative Democracy: Essays on Reason and Politics" (1997), MIT Press
- Brown, S., "Alternative dispute resolution practitioners guide", Center for Democracy and Government, ~ (1996)
- Cohen, J., "Deliberation and democratic legitimacy", 67~92 (1997)
- Gauvin, F. P., "What is a deliberative process?", Fact sheet, ~ (2009)
- Gutmann, A., "Deliberative Democracy Beyond Process", The Journal of Political Philosophy, 10(2), pp.153~174 (2002)
- Gutmann, A., "Why Deliberative Democracy?" (2009), Princeton University Press
- Himes, J. S., "Conflict and Conflict Management" (2008), University of Georgia Press
- Innes, J. E., "Consensus Building : Clarifications for the Critics", Planning Theory, 3(1), pp.5~20 (2004)
- Keeney, R. L., "Value-focused Thinking", pp.29~52 (1992), Harvard University Press
- Liu, L. A., "The dynamics of consensus building in intracultural and intercultural negotiations", Administrative Science Quarterly, 57(2), pp.269~304 (2012)
- Maes, P., "Modeling Adaptive Autonomous Agents", Artificial Life, 1(1_2), pp.135~162 (1993)
- "What is Artificial Intelligence?" (1998)[URL]
- Messick, D. M., "Equality as a decision heuristic", Psychological Perspectives on Justice : Theory and Applications, pp.11~31 (1993)
- Nabatchi, T., "The Institutionalization of Alternative Dispute Resolution in the Federal Government", Public Administration Review, 67(4), pp.646~661 (2007)
- Olsher, D. J., "New Artificial Intelligence Tools For Deep Conflict Resolution and Humanitarian Response", Procedia Engineering, 107, pp.282~292 (2015)
- Olsher, D. J., "COGVIEW INTELNET: Nuanced energy-based knowledge representation and integrated cognitive-conceptual framework for realistic culture, values, and concept-affected systems simulation", 2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence, pp.82~91 (2013)
- Park, W. -W., "A Review of research on Groupthink", Journal of Behavioral Decision Making, 3(4), pp.229~245 (1990)
- Rousseau, D. M., "The Oxford Handbook of Evidence-Based Management" (2012), Oxford University Press
- "Artificial intelligence: a modern approach" (2016)[URL]
- Scherer, M. U., "Regulating artificial intelligence systems: Risks, challenges, competencies, and strategies", Harv. JL & Tech.,, 29, pp.353~ (2015)
- Schneider, A. K., "The intersection of therapeutic jurisprudence, preventive law, and alternative dispute resolution", Psychology, Public Policy, and Law, 5(4), pp.1084~ (1999), An Official Law Review of the University of Arizona College of Law and the University of Miami School of Law
- Susskind, L. E., "The consensus building handbook: A comprehensive guide to reaching agreement" (1999), Sage Publications
- Sycara, K. P., "Machine learning for intelligent support of conflict resolution", Decision Support Systems, 10(2), pp.121~136 (1993)
- Thomas, K. W., "Conflict and conflict management : Reflections and update", Journal of Organizational Behavior, 13(3), pp.265~274 (1992)
- Von Neumann, J., "Theory of games and economic behavior" (1947)
- How artificial intelligence is transforming the world, "West, D. M.", ~ (2018)
- Yeager, S. J., "Classic methods in public administration research", Public Administration And Public Policy, 65, pp.807~918 (1998)
