• 한국IT서비스학회지
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• 제20권1호
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• pp.93-115
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• 2021

Various policy declarations and institutional experiments involving artificial intelligence are being made in most countries. Depending on how the artificial intelligence policy changes, the role of the government, the scope of the policy, and the policy means used may vary, which can lead to the success or failure of the policy. This study proposed a perspective on AI(Artificial Intelligence) in policy research, investigated the theory of path change, and derived the characteristics of path change in AI policy. Since AI policy is related to a wide range of policy areas and the policy making is at the start points, this study is based on the neo-institutional path theory about the types of institutional changes. As a result of this study, AI policy showed the characteristics of path creation, and in detail presented the conflict relationship between institutional design elements, the scalability of policy areas, policy stratification and policy mix, the top policy characteristics transcending the law, and the experiment for regulatory innovation. Since AI can also be used as a key tool for policy innovation in the future, research on the path and characteristics of AI policy will provide a new direction and approach to government policy or institutional innovation seeking digital transformation.

• 한국IT서비스학회지
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• 제22권2호
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• pp.23-40
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• 2023

Despite the growing interest and normative discussions on AI ethics, there is a lack of discussion on policy instruments that are necessary for companies to develop AI-based services in compliance with ethical principles. Thus, the purpose of this study is to explore policy instruments that can encourage companies to voluntarily comply with and adopt AI ethical standards and self-checklists. The study reviews previous research and similar cases on AI ethics, conducts interviews with AI-related companies, and analyzes the data using AHP to derive action plans. In terms of desirability and feasibility, Research findings show that policy instruments that induce companies to ethically develop AI-based services should be prioritized, while regulatory instruments require a cautious approach. It was also found that a consulting support policy consisting of experts in various fields who can support the use of AI ethics, and support for the development of solutions that adhere to AI ethical standards are necessary as incentive policies. Additionally, the participation and agreement of various stakeholders in the process of establishing AI ethical standards are crucial, and policy instruments need to be continuously supplemented through implementation and feedback. This study is significant as it presents the necessary policy instruments for companies to develop ethical AI-based services through an analytical methodology, moving beyond discursive discussions on AI ethical principles. Further analysis on the effectiveness of policy instruments linked to AI ethical principles is necessary for establishing ethical AI-based service development.

• Journal of Information Technology Applications and Management
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• 제28권3호
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• pp.109-125
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• 2021

For the government of president Moon's AI SW HRD policy, he proclaimed AI democracy that anyone can utilize artificial intelligence technology to spread AI education for the people of the country. Through cognitive map analysis, this study presents expected policy outcomes due to the input of policy factors to overcome crisis factors and utilize opportunity factors. According to the cognitive guidance analysis, first, the opportunity factor is recognized as accelerating the digital transformation to Covid 19 if AI SW HRD is well nurtured. Second, the crisis factor refers to the rapid paradigm shift caused by the intelligence information society, resulting in job losses in the manufacturing sector and deepening imbalance in manpower supply and demand, especially in the artificial intelligence sector. Third, the comprehensive cognitive map shows a circular process for creating an AI SW ecosystem in response to threats caused by untact caused by Corona and a circular process for securing AI talent in response to threats caused by deepening imbalance in manpower supply and demand in the AI sector. Fourth, in order to accelerate the digital circulation that has been accelerated by Corona, we found a circular process to succeed in the Korean version of digital new deal by strengthening national and corporate competitiveness through AI-utilized capacity and industrial and regional AI education. Finally, the AI utilization empowerment strengthening rotation process is the most dominant of the four mechanisms, and we also found a relatively controllable feedback loop to obtain policy outputs.

• 시스템엔지니어링학술지
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• 제18권2호
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• pp.11-23
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• 2022

Although artificial intelligence(AI) is a key technology in the digital transformation among the emerging technologies, there are concerns about the use of AI, so many countries have been trying to set up a proper regulation system. This study analyzes the cases of the regulation policies on AI in USA, EU and Korea with the aim to set up and improve proper AI policies and strategies in Korea. In USA, the establishment of the code of ethics for the use of AI is led by private sector. On the other side, Europe is strengthening competitiveness in the AI industry by consolidating regulations that are dispersed by EU members. Korea has also prepared and promoted policies for AI ethics, copyright and privacy protection at the national level and trying to change to a negative regulation system and improve regulations to close the gap between the leading countries and Korea in AI. Moreover, this study analyzed the course of policy changes of AI regulation policy centered on ACF(Advocacy Coalition Framework) model of Sabatier. Through this study, it proposes hyper-scale AI regulation policy recommendations for improving competitiveness and commercialization in Korea. This study is significant in that it can contribute to increasing the predictability of policy makers who have difficulties due to uncertainty and ambiguity in establishing regulatory policies caused by the emergence of hyper-scale artificial intelligence.

• International Journal of Internet, Broadcasting and Communication
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• 제16권1호
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• pp.203-214
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• 2024

This study seeks to provide implications for domestic-related policies through exploratory analysis research to support AI-based policy decision-making. The following should be considered when establishing an AI-based decision-making model in Korea. First, we need to understand the impact that the use of AI will have on policy and the service sector. The positive and negative impacts of AI use need to be better understood, guided by a public value perspective, and take into account the existence of different levels of governance and interests across public policy and service sectors. Second, reliability is essential for implementing innovative AI systems. In most organizations today, comprehensive AI model frameworks to enable and operationalize trust, accountability, and transparency are often insufficient or absent, with limited access to effective guidance, key practices, or government regulations. Third, the AI system is accountable. The OECD AI Principles set out five value-based principles for responsible management of trustworthy AI: inclusive growth, sustainable development and wellbeing, human-centered values and fairness values and fairness, transparency and explainability, robustness, security and safety, and accountability. Based on this, we need to build an AI-based decision-making system in Korea, and efforts should be made to build a system that can support policies by reflecting this. The limiting factor of this study is that it is an exploratory study of existing research data, and we would like to suggest future research plans by collecting opinions from experts in related fields. The expected effect of this study is analytical research on artificial intelligence-based decision-making systems, which will contribute to policy establishment and research in related fields.

• 정보보호학회논문지
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• 제34권5호
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• pp.1115-1133
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• 2024

AI 기술의 급속한 발전과 더불어 AI 시스템에서 개인정보를 대량으로 수집,처리,활용하는 경우가 증가하고 있다. 이에 따라 AI 시스템의 개인정보 처리에 대한 투명성과 책임성, 정보주체 권리보장, 개인정보 침해 위험 최소화 등이 중요한 과제로 대두되고 있다. 그러나 기존 개인정보 처리방침에는 일반적인 개인정보 처리에 대한 내용만 공개되고 있으며, AI 시스템에 대한 개인정보 처리방침은 부재한 상황이다. 이러한 문제를 해결하기 위해 개인정보 보호법 개정에 따른 개인정보 처리방침 평가제 시행 대응과 함께 AI 시스템의 설계 및 개발, 운영 과정에서 개인정보 처리에 대한 AI 시스템 개인정보 처리방침 수립·공개를 새롭게 제안한다. 이를 통해 본 연구는 현행 개인정보 보호법상 자동화된 결정에 따른 정보주체의 설명요구권 및 거부권 행사 규정에도 보완적인 역할을 할 수 있을 것으로 기대된다.

• 정보화정책
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• 제26권3호
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• pp.3-35
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• 2019

4차 산업혁명시대에 지능정보기술의 발전에 따라 인공지능의 다양한 역할이 주목을 받고 있다. 구글의 알파고를 계기로 인공지능은 더 이상 공상의 기술이 아닌 실존하는 기술이라는 점에서 사회전역에 파급효과를 가져올 것으로 예상되고 있다. 이에 따라 본 연구에서는 공공부문에서 인공지능을 활용한 정책결정의 가능성과 쟁점에 대한 탐색적 논의를 진행하였다. 이에 따른 연구목적은 세 가지 측면으로 구분되며, 첫째, 공공부문에서 인공지능이 정책결정까지 이어질 수 있는지에 대한 검토이다. 둘째, 인공지능의 정책결정과정이 기존 정책결정과의 어떠한 차이를 가지는가이다. 셋째, 인공지능이 정책결정에 도입될 경우에 나오게 될 쟁점을 다루었다. 이러한 인공지능에 의한 정책결정이 기존의 정채결정과 구별되는 점은 많은 정보와 대안에 기반한 합리적 의사결정, 투명성 및 신뢰성의 제고, 정책이슈에 대한 객관적인 시각, 신속한 의사결정 등이다. 하지만 인공지능의 정책의사결정시 야기되는 쟁점 역시 존재 한다. 첫째는 인공지능의 우월성, 둘째 윤리성 논란, 셋째 책임성, 넷째 기존 민주주의의 변화, 다섯째 공공부문 인력의 대체 논쟁, 여섯째 인공지능에 필요한 데이터 활용의 문제점 등이다. 공공부문 정책의사결정에서 인공지능의 도입은 향후 실현될 것이기 때문에, 사회적 충격을 최소화하기 위해 그에 따른 순기능과 역기능에 대한 융합적인 접근이 필요하다.

• 보건행정학회지
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• 제34권2호
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• pp.103-105
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• 2024

인공지능(artificial intelligence, AI) 기술이 산업 전반으로 빠르게 확산되고 있다. AI를 활용하게 되면서 생기는 윤리적 이슈에 대한 관심도 높아지고 있다. 특히 건강과 생명을 주제로 연구하는 보건의료 분야에서 AI와 관련된 윤리적 이슈는 중요한 주제이다. 연구하고 출판하는 과정에서 AI 도구를 이용하였을 때 주의해야 할 연구윤리적 쟁점을 살펴보고자 한다. 연구과정에서 AI tool을 사용하여 번역하거나 인용하고 문장을 수정하는 과정에서 연구자가 의도하지 않은 표절이 생길 수 있어 주의가 필요하다. 현재 AI에게는 저작권이 부여되지 않기 때문에 AI 도구를 사용하여 생기는 연구윤리적 문제는 저자가 책임질 수밖에 없다. 연구자는 AI 도구를 활용하였을 경우 어떤 도구를 어떻게 활용했는지를 연구논문에 명시하도록 권고된다. 연구과정에서 AI 도구로 인한 연구윤리 쟁점 사례가 축적되어가면 다양한 지침들이 정비될 것으로 예상된다. 연구자는 연구출판과정에서 AI 도구의 사용과 관련된 국제적인 합의와 지침 동향에 대해 지속적으로 관심을 가져야 한다.

• Asian Journal of Innovation and Policy
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• 제9권1호
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• pp.56-78
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• 2020

Changes in our lives due to Artificial Intelligence (AI) are currently ongoing, and there is little refutation of the effectiveness of AI. However, there have been active discussions to minimize the side effects of AI and use it responsibly, and publishing the AI Charter of Ethics (AICE) is one result of it. This study examines how our society is responding to threats from AI that may emerge in the future by examining various AIECs in the Republic of Korea. First, we summarize seven AI threats and classify these into three categories: AI's value judgment, malicious use of AI, and human alienation. Second, from Korea's seven AICEs, we draw fourteen topics based on three categories: protection of social values, AI control, and fostering digital citizenship. Finally, we review them based on the seven AI threats to evaluate any gaps between the threats and our responses. The analysis indicates that Korea has not yet been able to properly respond to the threat of AI's usurpation of human occupations (jobs). In addition, although Korea's AICEs present appropriate responses to lethal AI weapons, these provisions will be difficult to realize because the competition for AI weapons among military powers is intensifying.

• 한국인공지능학회지
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• 제11권2호
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• pp.7-17
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• 2023

Artificial Intelligence (AI) technology has already penetrated deeply into our daily lives, and we live with the convenience of it anytime, anywhere, and sometimes even without us noticing it. However, because AI is imitative intelligence based on human Intelligence, it inevitably has both good and evil sides of humans, which is why ethical principles are essential. The starting point of this study is the AI principles for companies or organizations to develop products. Since the late 2010s, studies on ethics and principles of AI have been actively published. This study focused on AI principles declared by global companies currently developing various products through AI technology. So, we surveyed the AI principles of the Global 500 companies by market capitalization at a given specific time and collected the AI principles explicitly declared by 46 of them. AI analysis technology primarily analyzed this text data, especially LDA (Latent Dirichlet Allocation) topic modeling, which belongs to Machine Learning (ML) analysis technology. Then, we conducted a Delphi technique to reach a meaningful consensus by presenting the primary analysis results. We expect to provide meaningful guidelines in AI-related government policy establishment, corporate ethics declarations, and academic research, where debates on AI ethics and principles often occur recently based on the results of our study.