• 한국IT서비스학회지
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• 제18권3호
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• pp.117-128
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• 2019

The remarkable achievements of the artificial intelligence in recent years are also raising awareness about its potential risks. Several governments and public organizations have been proposing the artificial intelligence ethics for sustainable development of artificial intelligence by minimizing potential risks. However, most existing proposals are focused on the developer-centered ethics, which is not sufficient for the comprehensive ethics required for ongoing intelligent information society. In addition, they have chosen a number of principles as the starting point of artificial intelligence ethics, so it is not easy to derive the guideline flexibly for a specific member reflecting its own situation. In this paper, we classify primitive members who need artificial intelligence ethics in intelligent information society into three : Developer, Supplier and User. We suggest a new artificial intelligence ethics, Seoul PACT, with minimal principles through publicness (P), accountability (A), controllability (C), and transparency (T). In addition, we provide 38 canonical guidelines based on these four principles, which are applicable to each primitive members. It is possible for a specific member to duplicate the roles of primitive members, so that the flexible derivation of the artificial intelligence ethics guidelines can be made according to the characteristics of the member reflecting its own situation. As an application example, in preparation for applying artificial intelligence to e-government service, we derive a full set of artificial intelligence ethics guideline from Seoul PACT, which can be adopted by the special member named Korean Government.

• 산업융합연구
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• 제20권5호
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• pp.83-92
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• 2022

인공지능 기술로 인한 사회·윤리적 문제 사례가 발생하면서 인공지능의 위험과 부작용에 대한 사회적 관심과 함께 인공지능 윤리가 주목받고 있다. 인공지능 윤리는 알고, 느끼는 것에 그치는 것이 아니라 행동과 실천으로 이루어져야 한다. 이에 본 논문은 인공지능 윤리의 실천력을 강화하기 위한 인공지능 윤리 교육 모델을 제안하고자 한다. 인공지능 윤리교육 모델은 선행 연구 분석을 통해 교육목표와 인공지능을 이용한 문제해결 프로세스를 도출하고, 실천력 강화를 위한 교수학습방법을 적용하였으며 기존에 제안된 인공지능 교육 모델과 비교 분석하여 그 차이를 도출하였다. 본 논문에서 제안하는 인공지능 윤리 교육 모델은 컴퓨팅 사고력 함양과 인공지능 윤리의 실천력 강화를 목표로 한다. 이를 위해 인공지능을 이용한 문제해결 프로세스를 6단계로 제안하고, 인공지능 특성을 반영한 인공지능 윤리요소를 도출하여 문제해결 프로세스에 적용하였다. 또한, 인공지능 윤리 의식에 대한 사전·사후 평가와 과정 평가를 통해 인공지능 윤리 기준을 무의식적으로 확인하게 하고, 학습자 중심의 교수학습방법을 적용하여 학습자의 윤리 실천을 습관화하도록 설계하였다. 본 연구를 통해 개발된 인공지능 윤리 교육 모델이 컴퓨팅 사고력을 함양하고, 인공지능 윤리가 실천으로 이어지는 인공지능 교육이 될 수 있을 것으로 기대한다.

• 융합보안논문지
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• 제24권2호
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• pp.63-70
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• 2024

인공지능 기술의 발전으로 우리의 삶은 혁신적으로 변화하고 있지만, 동시에 윤리적 문제들도 새롭게 대두되고 있다. 특히 알고리즘 및 데이터 편향성에 의한 차별문제, 딥페이크 및 개인정보 유출 문제 등은 인공지능 서비스확대에 따라 사회적으로 해결해야 할 선결과제라 판단된다. 이를 위해 본 논문에서는 인공지능 윤리 측면에서 인공지능의 개념과 윤리적 이슈를 살펴보고 이를 예방하기 위한 각국의 윤리 가이드라인, 법률, 인공지능 영향평가제도, 인공지능 인증제도와 인공지능 알고리즘 투명성 관련 기술 현황 등을 살펴보고 인공지능 윤리 강화를 위한 제도적 개선방안을 제시하고자 한다.

• 인터넷정보학회논문지
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• 제23권3호
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• pp.111-123
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• 2022

지능정보화 사회에서 가장 핵심으로 발전하고 있는 인공지능은 인간에게 편의성과 긍정적인 삶의 변화를 가져오고 있다. 하지만 인공지능 발전과 함께 인간의 인격권과 재산이 위협받고, 윤리적인 문제가 발생하는 사례도 증가하고 있기 때문에 그에 따른 대안이 필요하다. 본 연구에서는 인공지능의 역기능에서 가장 쟁점화되고 있는 인공지능 윤리(Artificial Intelligence Ethics) 문제를 인공지능 윤리원칙과 구성요소 기반 하에 우선적으로 인간의 인격권과 재산을 보호할 수 있도록 인공지능 윤리 측정지표를 연구, 개발하는 데 목표를 두었다. 인공지능 윤리 측정지표를 연구, 개발하기 위해 다양한 관련 문헌과 전문가 심층 면접(FGI), 델파이 설문조사를 실시하여 43개 항목의 윤리 측정지표를 도출하였다. 설문조사와 통계분석에 의하여 윤리 측정지표에 대한 기술통계량 분석, 신뢰도 분석, 상관관계 분석으로 40개 항목의 인공지능 윤리 측정지표를 확정하여 제안하였다. 제안된 인공지능 윤리 측정지표는 인공지능 설계, 개발, 교육, 인증, 운영, 표준화 등에 활용될 수 있으며, 안전하고 신뢰할 수 있는 인공지능 발전에 기여할 수 있을 것이다.

• 공학교육연구
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• 제25권3호
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• pp.35-44
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• 2022

Artificial intelligence is a core technology in the era of digital transformation, and as the technology level is advanced and used in various industries, its influence is growing in various fields, including social, ethical and legal issues. Therefore, it is time to raise social awareness on ethics of artificial intelligence as a prevention measure as well as improvement of laws and institutional systems related to artificial intelligence development. In this study, we analyzed unstructured data, typically text, such as online news articles and comments to confirm the degree of social awareness on ethics of artificial intelligence development. The analysis showed that the public intended to concentrate on specific issues such as "Human," "Robot," and "President" in 2018 to 2019, while the public has been interested in the use of personal information and gender conflics in 2020 to 2021.

• 디지털융복합연구
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• 제20권2호
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• pp.269-275
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• 2022

사람을 대상으로 하는 인공지능 서비스가 증가하면서 인공지능에서도 윤리적 토대 위에서 이루어져야 한다는 사회적 요구가 증가하고 있다. 이러한 흐름에 따라 정부와 기업에서는 인공지능 윤리와 관련된 정책, 규범 등을 마련하고 있다. 합리적인 정책, 규범을 마련하기 위해서는 대중들이 가지고 있는 인식을 파악하는 것이 첫 번째 단계이다. 본 논문에서는 인공지능과 윤리에 대한 대중들의 인식을 파악하기 위해 소셜데이터와 뉴스 댓글을 수집하고 관심도 분석, 감성 분석, 담론 분석 수행 후 시각화하였다. 분석 결과, "인공지능 윤리"에 대한 관심도와 '인공지능" 호감도는 반비례하는 상관관계를 보여주었다. 담론분석 결과로, 가장 큰 이슈가 "개인정보 유출"이었고 학습 데이터의 오염 및 편향 문제와 컴퓨터로 만들어진 인공지능에게 법인격을 부여해야 하는지에 대한 담론도 보여주었다. 본 연구가 인공지능 윤리 규범, 정책을 마련할 때 대중들의 인식을 파악할 수 있는 자료로 활용될 수 있을 것이다.

• 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.

• 디지털산업정보학회논문지
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• 제19권4호
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• pp.29-44
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• 2023

This study examined research trends in AI ethics education and attempted to suggest a direction for AI ethics education. As a result of the research, two studies were conducted in 2017. There are no studies in 2018 and 2019, and there are 6 studies in 2020. Since then, research has continued to increase, with 19 studies in 2021 and 18 studies in 2022. There were a total of 37 lead authors of the study. There were six lead authors who had published papers for more than two years, and two lead authors who had published papers for more than three years. In addition, to examine the details of AI ethics education, a total of 265 keywords that went through a refining process were divided into education-related, ethics-related, AI-related, and other-related. Although the necessity and importance of research on AI ethics education is expected to increase, there are not many researchers who continuously conduct research on AI ethics education. Accordingly, there is a need to find ways to continue research on AI ethics education. AI ethics education is being conducted under various names such as moral education, ethics education, liberal arts education, and AI education. Accordingly, research on AI ethics education at various levels and forms should be conducted, not just educational research on artificial intelligence ethics in terms of regular subjects.

• 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.

• 한국운동역학회지
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• 제32권3호
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• pp.69-79
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• 2022

Objective: The purpose of this study is to analyze trends related to sports and artificial intelligence (AI) to understand the trends and how they change according to time, and to establish methods to apply AI in sports. Both macro and micro perspectives related to sports utilization of AI were analyzed. Method: In this study, after analyzing and discussing various information related to the use of artificial intelligence in the sports through a search of academic journals, papers, books, and websites published recently at nationally and internationally, the application plan of artificial intelligence in the sports field was presented. Results: 1) Motion analysis technology using artificial intelligence is effective in sports where posture is important, and if it provides systematic feedback and training methods, it can help improve performance. 2) The introduction of a sports referee judgment system using artificial intelligence is expected to improve performance by restoring factual judgment and objective fairness in sports games. 3) Artificial intelligence will provide coaching staff and players with a variety of information to help improve performance through systematic coaching and improving feedback and enhanced training methods. 4) It is judged that artificial intelligence-related to sports ethics, sports ICT, sports marketing, sports prediction, etc. We think that based on the current AI research trends will have a positive impact on all sports-related areas, helping to revitalize sports. Conclusion: Motion analysis technology using artificial intelligence, sports referee judgment system, coaching using artificial intelligence, and artificial intelligence are judged to have a positive effect on all sports-related areas and help revitalize sports.