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인공지능윤리교육의 국내 연구 동향 분석 (Analysis of Domestic Research Trends in AI Ethics Education)

  • 김경주
    • 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.

인공지능으로 작성된 논문의 처리 방안 (How to Review a Paper Written by Artificial Intelligence)

  • 신동우;문성훈
    • Journal of Digestive Cancer Research
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    • 제12권1호
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    • pp.38-43
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    • 2024
  • Artificial Intelligence (AI) is the intelligence of machines or software, in contrast to human intelligence. Generative AI technologies, such as ChatGPT, have emerged as valuable research tools that facilitate brainstorming ideas for research, analyzing data, and writing papers. However, their application has raised concerns regarding authorship, copyright, and ethical considerations. Many organizations of medical journal editors, including the International Committee of Medical Journal Editors and the World Association of Medical Editors, do not recognize AI technology as an author. Instead, they recommend that researchers explicitly acknowledge the use of AI tools in their research methods or acknowledgments. Similarly, international journals do not recognize AI tools as authors and insist that human authors should be accountable for the research findings. Therefore, when integrating AI-generated content into papers, it should be disclosed under the responsibility of human authors, and the details of the AI tools employed should be specified to ensure transparency and reliability.

RETRACTED: Design of LEO Constellations with Inter-Satellite Connects Based on the Performance Evaluation of the Three Constellations SpaceX, OneWeb and Telesat

  • Peng Zong;Saeid Kohani
    • 대한원격탐사학회지
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    • 제40권3호
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    • pp.317-317
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    • 2024
  • Notice: This article has been retracted as a result of the review (on May 14, 2024) by the Research Ethics Committee of the Korean Society of Remote Sensing, which confirmed research misconduct (plagiarism). The Korean Journal of Remote Sensing (KJRS) Editorial Office received a report alleging plagiarism in a paper published in KJRS authored by Zong and Kohani (2021). Following a thorough investigation by our Research Ethics Committee, we found significant similarities between the original paper (Lee and Mortari, 2017) and the paper (Zong and Kohani, 2021) published in KJRS. The scope of the plagiarism included a number of identical figures, tables, and equations, as well as textual content. As a result, the Research Ethics Committee of the Korean Society of Remote Sensing has decided to retract the paper (Zong and Kohani. 2021) for deliberately using the ideas, research content, and results of others without proper approval or citation. To preserve academic integrity, we take responsibility for enforcing ethical policies and proceeding with the follow-up actions: 1. Disclosure and preservation of the facts and reasons for the retraction of the plagiarized paper, 2. Prohibition of submissions for the next three years for the authors of the plagiarized paper, 3. Notification to the authors’ affiliated institution of the retraction of the plagiarized paper. We deeply regret to report for retraction of the article and apologize to the readers of KJRS and to the authors of the original work for any inconvenience caused.

상품후기 작성자에 대해 상품후기 독자가 느끼는 유사성이 상품후기 독자에게 미치는 영향 (Effects of Perceived Similarity between Consumers and Product Reviewers on Consumer Behaviors)

  • 김지영;서응교;서길수
    • Asia pacific journal of information systems
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    • 제18권3호
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    • pp.67-90
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    • 2008
  • Prior to making choices among online products and services, consumers often search online product reviews written by other consumers. Online product reviews have great influences on consumer behavior because they are believed to be more reliable than information provided by sellers. However, ever-increasing lists of product reviews make it difficult for consumers to find the right information efficiently. A customized search mechanism is a method to provide personalized information which fits the user's requirements. This study examines effects of a customized search mechanism and perceived similarity between consumers and product reviewers on consumer behaviors. More specifically, we address the following research questions: (1) Can a customized search mechanism increase perceived similarity between product review authors and readers? (2) Are product reviews perceived as more credible when product reviews were written by the authors perceived similar to them? (3) Does credibility of product reviews have a positive impact on acceptance of product reviews? (4) Does acceptance of product reviews have an influence on purchase intention of the readers? To examine these research questions, a lab experiment with a between-subject factor (whether a customized search mechanism is provided or not) design was employed. In order to enhance mundane realism and increase generalizability of the findings, the experiment sites were built based on a real online store, cherrya.com (http://www.cherrya.com/). Sixty participants were drawn from a pool that consisted of undergraduate and graduate students in a large university. Participation was voluntary; all the participants received 5,000 won to encourage their motivation and involvement in the experiment tasks. In addition, 15 participants, who selected by a random draw, received 30,000 won to actually purchase the product that he or she decided to buy during the experiment. Of the 60 participants, 25 were male and 35 were female. In examining the homogeneity between the two groups, the results of t-tests revealed no significant difference in gender, age, academic years, online shopping experience, and Internet usage. To test our research model, we completed tests of the measurement models and the structural models using PLS Graph version 3.00. The analysis confirmed individual item reliability, internal consistency, and discriminant validity of measurements. The results show that participants feel more credible when product reviews were written by the authors perceived similar to them, credibility of product reviews have a positive impact on acceptance of product reviews, and acceptance of product reviews have an influence on purchase intention of the readers. However, a customized search mechanism did not increase perceived similarity between product review authors and readers. The results imply that there is an urgent need to develop a better customized search tool in order to increase perceived similarity between product review authors and readers.

KCI 등재 신학 학술지에 대한 계량서지학적 분석 (A Bibliometric Study on the KCI Listed Theological Journals)

  • 유영준;이재윤
    • 한국비블리아학회지
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    • 제31권3호
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    • pp.5-27
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    • 2020
  • 이 연구의 목적은 KCI에 등재된 신학 학술지의 주제어와 저자를 분석함으로써 국내 신학의 공식적인 연구 성과를 밝히는 데 있다. 저자 중복도에 의해서 시기를 둘로 구분하여 92개의 주제어를 McQuitty 방법으로 계층적 군집 분석을 하였다. 저자 분석에는 저자가 소수의 군집에 몰리는 것을 방지하는 Ward 방법을 사용하였다. 학술지의 주제어 분석에서는 주제어와 함께 학술지들의 비중을 함께 분석해서 학술지가 주제어에 미치는 영향을 밝혀내었다. 저자 분석에서는 논문의 양을 나타내는 표준성과지수와 성장추세를 표시하는 성장지수를 활용해서 저자들의 입지를 분석하였다. 성장지수 분석에서 주목할만한 학자는 모두 개혁신학자로 나타났다. KCI 학술지의 주요한 주제어 분석과 저자 분석에서 뚜렷하게 나타난 한국 신학 주제는 조직신학과 신약성경으로 볼 수 있다. 이전의 신학 분야 계량서지학 연구가 KCI에 등재되지 않은 학술지를 대상으로 한 것과 비교했을 때, 이 연구는 국내의 공식 인용색인인 KCI에 등재된 학술지들을 분석함으로써 차별성을 가질 수 있다.

한국인의 표준체중치와 정상적응체중치에 관한 연구 (Studies on the Physical Growth and Development, Standard Body Weight and Normal Adapted Body Weight in Korea)

  • 김대봉;윤태영;최중명;박순영
    • 보건교육건강증진학회지
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    • 제13권1호
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    • pp.128-162
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    • 1996
  • Using Random Sampling, the authors measured the body heights and weights of 31,151 persons - 17,102 in males and 14,049 in females from metropolitan, urban and rural areas between 6 to over 80 year old - for the purpose of investigating the type and the actual condition of the Korean's growth and development. At first, on the basis of the results, the authors measured the growth and development, various kinds of physiques, nutritional index of the 6 to 20s age group. Second, the authors presented the standard body weight of males and females by their body height, who were in the end of their growth (20-29 age group). Third, the authors calculated and presented the normal adapted body weight of the age group who were over 30 age after the growth had been completed. Forth, the author presented the obesity rate of the adults over 20 years old by body mass index. Finally, the authors compared chronological change of the Koreans' body heights and body weights with the results of other researchers. 1. Body Measurement Rapid growth, in terms of body height, which is described by a straight line on a growth curve has been observed among males in the ages 6-13 and among females 6-14. That growth curve turned out to be slower among the people of higher ages by both sexes. The cross-over occurred in both sexes at 11-14. The highest growth rate for a year is at 13-16 for males and 11-13 for females. This indicates that females enter a rapidly growing stage 2 years earlier than males. 2. Various Physiques and Nutritional Index Rapid growth, in terms of Relative Body Weight Index, which is described by a straight line, has been observed among males in the ages 6-16 and females in the ages 6-14. The cross-over occurred in both sexes 12.5-14.5 age in the adolescencent period. Whereupon females outgrow males. The Roher Index displayed more good value in case of females than male and in the adolescent period, the level of fullness is lower than after the completion of development. The Kaup Indices of both sexes increase with age. The index is less than 2.0 for males in 6-14 age group and for females in 6-13 age group and with this, it appeared that development of horizontal axis to long axis is poor. The index is more than 2.0 after 15 age group in males and 14 age group in females and developmental state4 age group and for females in 6-13 age group and with this, it appeared that development of horizontal axis to long axis is poor. The index is more than 2.0 after 15 age group in males and 14 age group in females and developmental state Body Mass Index is less than 20 for males 6-14 age group and for females in 6-13 age group. In the case of the higher age group, that index maintains a normal state.

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한국연구재단에 등재된 한의학 학술지에 대한 계량서지학적 비교분석 연구 (Bibliometric Analysis of Traditional Korean Medical Journals Registered with the National Research Foundations of Korea)

  • 예상준;김철;김상균;장현철;김진현;전병욱;장윤지;성보석;송미영
    • 대한한의학회지
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    • 제32권5호
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    • pp.66-77
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    • 2011
  • Objectives: This study aimed to make preliminary data through the bibliometric analysis of journals registered by national research foundations of Korea for the improvement of traditional Korean medical (TKM) journals. Methods: We collected 4,396 articles from the OASIS database, which is composed of articles published by TKM societies and institutes. First, we analyzed the 'authors by year', 'average authors per article', 'articles by institute' and 'authors by institute' to get the author-related conditions. Second, we analyzed the 'reference type', 'cited times', 'IF with self citation' and 'IF without self citation' to get the citation condition. Results: First, we found that the journal order of total authors was KAOOMP (2362), KOMS (1189), and KAMS (967), and of average authors per article was KAMS (5.29), KOIMS (5.25), and KOMS (4.75). Second, we learned that the journal order of occupied article ratio by high rank institutes was SCMS (92.4%), MAS (90.03%), and KOPS (87.22%) and of occupied author ratio by high rank institutes was KOPMS (96.55%), MAS (95.19%), and SCMS (93.85%). Third, we analyzed the most highly cited reference type by journals and we found that OMCS was books, SCMS was oriental medical journals and the other 10 journals were not oriental medical journals. Finally, we observed that the journal order of self citation ratio was SCMS (16.79%), KMAS (11.77%), and OOGS (11.67%) and also that the IF order was KAMS (0.675), OOGS (0.546), and KAOH (0.430). Conclusions: Through this study we found that TKM research leans too much toward on oriental medical universities, so we insist that TKM R&D institutes must be expanded. We also found that the self citation ratio was high in TKM journals, so the ratio must be decreased to improve the quality of the TKM journals.

동적 소셜네트워크 구조 변수를 적용한 가상 재화 구매 모형 연구 (Study of Virtual Goods Purchase Model Applying Dynamic Social Network Structure Variables)

  • 이희태;배정호
    • 유통과학연구
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    • 제17권3호
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    • pp.85-95
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    • 2019
  • Purpose - The existing marketing studies using Social Network Analysis have assumed that network structure variables are time-invariant. However, a node's network position can fluctuate considerably over time and the node's network structure can be changed dynamically. Hence, if such a dynamic structural network characteristics are not specified for virtual goods purchase model, estimated parameters can be biased. In this paper, by comparing a time-invariant network structure specification model(base model) and time-varying network specification model(proposed model), the authors intend to prove whether the proposed model is superior to the base model. In addition, the authors also intend to investigate whether coefficients of network structure variables are random over time. Research design, data, and methodology - The data of this study are obtained from a Korean social network provider. The authors construct a monthly panel data by calculating the raw data. To fit the panel data, the authors derive random effects panel tobit model and multi-level mixed effects model. Results - First, the proposed model is better than that of the base model in terms of performance. Second, except for constraint, multi-level mixed effects models with random coefficient of every network structure variable(in-degree, out-degree, in-closeness centrality, out-closeness centrality, clustering coefficient) perform better than not random coefficient specification model. Conclusion - The size and importance of virtual goods market has been dramatically increasing. Notwithstanding such a strategic importance of virtual goods, there is little research on social influential factors which impact the intention of virtual good purchase. Even studies which investigated social influence factors have assumed that social network structure variables are time-invariant. However, the authors show that network structure variables are time-variant and coefficients of network structure variables are random over time. Thus, virtual goods purchase model with dynamic network structure variables performs better than that with static network structure model. Hence, if marketing practitioners intend to use social influences to sell virtual goods in social media, they had better consider time-varying social influences of network members. In addition, this study can be also differentiated from other related researches using survey data in that this study deals with actual field data.

한국 기술혁신연구의 지적생태계 구조 (Mapping Intellectual Space of Technology Innovation Management in Korea)

  • 설성수;남수현;박정민
    • 기술혁신학회지
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    • 제12권1호
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    • pp.165-188
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    • 2009
  • 본 연구의 주요 목적은 한국의 기술혁신관리연구가 어떤 세부 학문분야로 구성되어 있는지를 규명하는 것이다. 우리는 분석을 위하여 견고성이 입증된 저자공동피인용분석 기법을 사용하였다. 분석에 사용된 데이터는 한국의 양대 저널에서 1993년부터 2006년까지 수록된 논문의 인용데이터를 대상으로 하였는데, 제1저자만을 취급했던 기존의 관련연구와는 달리, 우리는 포괄적 연구를 위해 제3저자까지 포함시켰다. 분석은 일단 인용횟수 10회 이상인 239명을 식별한 후, 이들간의 저자공동피인용회수를 기준으로 다시 상위 100명으로 압축하여 분석하였다. 그리고 이 분야에서 높은 저자피인용횟수와 저자공동피인용횟수를 보이는 23인의 주도적 연구자 그룹을 식별하였다. 이 집단의 연구자 당 평균 저작편수는 22.2, 연구자 당 평균 피인용 횟수는 58.5회, 그리고 저작물 건당 평균 피인용 횟수는 2.6회임을 보이고 있었다. 또한 연구자 공동피인용 횟수는 연구자 피인용 횟수의 10배에 달하는 것으로 나타났다. 다른 주요 분석 결과는 한국의 기술혁신연구는 기술/혁신, 기술경영, 기술경제, 개발, 기술가치평가, 그리고 성장과 같은 6개의 영역으로 구성되고 있고, 다음과 같은 툭성을 보이고 있다. 1) 대다수의 기술경영 연구진은 경영학자들로, 기술경제와 성장 관련 연구는 경제학자들로 구성된 반면, 기술혁신과 개발 영역은 특정 연구분야가 주도적 역할을 수행하고 있지 않다. 2) 기존의 학문분야를 고려하면, 경영학과 경제학이 기술혁신연구를 주도하고 있음을 보이고 있다. 3) 기술가치평가는 대부분 한국 연구자들에 의해 수행되고 있음을 보이고 있다.

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외국 개혁신학 학술지에 대한 계량서지학적 연구 (A Bibliometric Study on Foreign Reformed Theological Journals)

  • 유영준;이재윤
    • 한국비블리아학회지
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    • 제30권3호
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    • pp.149-170
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    • 2019
  • 이 연구에서는 외국의 개혁신학 학술지 6종의 색인어를 수집하여, 지적구조와 학술지의 특성, 저자들의 주요 연구 분야를 밝히기 위해서 크게 세 가지 내용을 분석하였다. 첫째, 키워드 분석에서는 주요 키워드와 키워드의 시기별 추세, 둘째, 학술지 분석에서는 학술지의 주요 주제와 학술지별 차별 주제, 저자 분석에서는 저자 프로파일링을 분석하였다. 키워드 분석 결과에서는 4개의 대군집과 23개의 소군집이 생성되었으며, 학술지 분석 결과에서는 두 개의 군집이 생성되었으며, 특정 학술지를 다른 학술지와 차별화하는 구별어도 분석하였다. 저자 프로파일링 분석에서는 6개의 군집을 생성했는데, 저자 군집들이 공유하는 주제 색인어가 앞의 두 가지 결과와 유사한 것으로 나타났다. 이 세 가지 분석의 결과에서 신구약성경의 가르침과 개혁신학의 두 가지 핵심 주제가 일관적인 것으로 보였다. 외국의 개혁신학 학술지를 분석하는 것이 주요한 연구 목적이었으며, 부수적으로 이 연구의 결과의 일부가 이전의 국내 개혁신학 학술지 분석 결과와 유사하다는 것을 발견하였다. 따라서 이 연구의 결과가 한국의 개혁신학에 의미하는 바를 파악하기 위해서 추가 연구가 필요해 보인다.