• 한국도서관정보학회지
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• 제48권4호
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• pp.21-47
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• 2017

이 연구는 최근 주목을 받고 있는 인공지능에 관한 사회적 담론에 어떤 주제적인 특성이 있는지를 분석하는 것을 목적으로 한다. 우리 사회에 알파고 충격이 있었던 2016년부터 2017년 6월까지, 18개월 간 조선일보와 한겨레에 보도된 신문기사를 분석대상의 텍스트로 선정하였다. 전체 525건의 신문기사에 나타난 1,210건의 메시지들에 대해 주제범주를 코딩하였다, 구분한 주제는 7개 대범주, 62개 중범주, 그리고 하위의 소범주 주제들로 구성되었다. 인공지능의 담론을 구성하는 대범주는 AI 연구, AI 적용영역, AI기업(사업), AI 시대, AI 쟁점, 알파고 사건, AI 기타의 주제들로 파악되었다. 대범주로 코딩된 메시지들의 내용을 대상으로 세부적인 주제분석을 시도하였으며, 그 결과로 나타나는 주요한 특성은 다음과 같다. 첫째, 인공지능 담론을 구성하는 주제범주의 범위와 내용이 다양하고 복잡하였다. 둘째, 안전하고 유용한 인공지능을 구현하기 위해서는 일자리 소멸의 문제, AI의 오류나 오용에 따른 부작용의 문제 등과 같은 사회정책적인 쟁점들의 해결이 중요하다. 셋째, 인공지능의 시대에서 인간의 역할, 적합한 인재양성을 위한 교육체제의 혁신도 난이도가 높은 쟁점들이다.

• 전자통신동향분석
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• 제34권5호
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• pp.14-25
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• 2019

As the Internet of Things, artificial intelligence and big data have received a lot of attention as key growth engines in the era of the fourth industrial revolution, data acquisition and utilization in mobile, automotive, robotics, manufacturing, agriculture, health care and national defense are becoming more important. Due to numerous data-based industrial changes, demand for sensor technologies is exploding, especially for intelligent sensor technologies that combine control, judgement, storage and communication functions with the sensors's own functions. Intelligent sensor technology can be defined as a convergence component technology that combines intelligent sensor units, intelligent algorithms, modules with signal processing circuits, and integrated plaform technologies. Intelligent sensor technology, which can be applied to variety of smart IT convergence services such as smart devices, smart homes, smart cars, smart factory, smart cities, and others, is evolving towards intelligent and convergence technologies that produce new high-value information through recognition, reasoning, and judgement based on artificial intelligence. As a result, development of intelligent sensor units is accelerating with strategies for miniaturization, low-power consumption and convergence, new form factor such as flexible and stretchable form, and integration of high-resolution sensor arrays. In the future, these intelligent sensor technologies will lead explosive sensor industries in the era of data-based artificial intelligence and will greatly contribute to enhancing nation's competitiveness in the global sensor market. In this report, we analyze and summarize the recent trends in intelligent sensor technologies, especially those for four core technologies.

• 한국정보시스템학회지:정보시스템연구
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• 제31권1호
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• pp.175-195
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• 2022

Purpose The purpose of this study is to examine news articles and analyze trends and key agendas related to artificial intelligence(AI). In particular, this study tried to compare the reporting behaviors of Korea and the United States, which is considered to be a leader in the field of AI. Design/methodology/approach This study analyzed news articles using a big data method. Specifically, main agendas of the two countries were derived and compared through the keyword frequency analysis, topic modeling, and language network analysis. Findings As a result of the keyword analysis, the introduction of AI and related services were reported importantly in Korea. In the US, the war of hegemony led by giant IT companies were widely covered in the media. The main topics in Korean media were 'Strategy in the 4th Industrial Revolution Era', 'Building a Digital Platform', 'Cultivating Future human resources', 'Building AI applications', 'Introduction of Chatbot Services', 'Launching AI Speaker', and 'Alphago Match'. The main topics of US media coverage were 'The Bright and Dark Sides of Future Technology', 'The War of Technology Hegemony', 'The Future of Mobility', 'AI and Daily Life', 'Social Media and Fake News', and 'The Emergence of Robots and the Future of Jobs'. The keywords with high centrality in Korea were 'release', 'service', 'base', 'robot', 'era', and 'Baduk or Go'. In the US, they were 'Google', 'Amazon', 'Facebook', 'China', 'Car', and 'Robot'.

• 문화기술의 융합
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• 제9권6호
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• pp.1151-1157
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• 2023

사회주의 체제와 공산당이 지배하는 중국이 인공지능시대에는 어떻게 변화할 것인가 궁금증을 자아낸다. SNS 가 발달하고 더 나아가 메타버스 세계안에서 소통을 하고 인공지능이 많은 분야를 차지하면서 운영 되어지는 메타버스 세계에서 중국식 사회주의 체제를 생각하며 앞으로의 메타버스 세계는 어떻게 변화할지 예측해 본다. 그러기 위해서는 중국 국가 특성상 국가 정책적으로 움직이는 특성을 이해하고 아울러 중국 국가에서 제시하는 메타버스 정책을 이해할 필요가 있다. 2022년 제13차 전국인민대표대회 제5차 회의에서 메타버스에 대한 발전을 강조하였으며, 그 해 5월에는 중국공산당 중앙당교에서는 <당정간부를 위한 메타버스 산업 설명서>를 출간 하였다. 그러므로 본 고에서는 중국 메타버스 정책에 대해 분석해 보고 중국이 나아가고자 하는 메타버스 산업의 발전 방향을 전망해 보고자 한다.

• 한국수학사학회지
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• 제30권6호
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• pp.341-351
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• 2017

In the 21st century, the era of artificial intelligence, it is demanded to make a change of the paradigm of education by the recent impact of the 4th industrial revolution. The education up to now has emphasized knowledge, meanwhile the human resources for the future are required to be armed with four C's: critical thinking, creativity, communication and collaboration capability, rather than being equipped with just knowledge. That is because the future society demands such abilities, especially the creativity of each individual. At this point, we are asked to consider the aim of education and teaching methods. In school education, students are to be respected and considered able to develop their potentials by themselves. They shouldn't be estimated by tests in the process of learning as they are now. We reconsider the aim of education here by taking a look at Whitehead's opinions and the present educational situations.

• 기독교교육논총
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• 제62권
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• pp.11-41
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• 2020

본 연구는 AI 시대의 특징과 공감적 감성화를 살펴보고, 시대적 역경을 극복하고 변화를 불러온 여성의 공감적 감성의 사례를 통해, AI시대 여성들의 공감적 감성능력 함양을 위한 기독교교육의 과제를 제시하고자 하는 것이다. AI 시대에서는 공감이 강조되고 공감적 감성이 이슈화 되고 있다. 공감은 갈등에서 벗어나 고난과 역경 및 어려움을 이겨내는 능력이며, 공감적 감성은 AI시대의 새로운 힘이며 앞으로 더욱 큰 힘이 될 것이기 때문이다. AI 시대에는 여러 가지 문제가 있을 수 있고 지금도 그 문제는 여전히 진행형이지만 그것을 변화시킬 수 있는 것은 공감과 공감적 감성이다. 여성의 공감적 감성은 인간 존엄성과 평등, 도덕성, 섬김과 헌신 및 배려의 특징이 있으며 이러한 공감적 감성을 통해 함께 살아가는 지구촌 공동체를 형성하고 있다. 따라서 시대의 고난을 극복하고 변화를 이끌어낸 여성들의 사례들을 살펴본 결과, 성별로서의 여성이 아닌 역사적 한 인간으로서 감각과 사고를 지닌 여성성으로서 AI 시대 여성의 공감적 감성 능력의 함양을 위한 기독교교육의 과제들은 여성의 신학적 정체성 재정립, 진정한 자기 자신이 되기 위한 노력, 시대를 읽는 통찰력 함양이 될 것임을 발견하게 되었다.

• International Journal of Advanced Culture Technology
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• 제8권3호
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• pp.186-191
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• 2020

Artificial Intelligence (AI) technology is used in a variety of fields because it can make inferences and plans through learning processes. In the field of coding technologies, AI has been introduced as a tool for personalized and customized education to provide new educational environments. Also, it can be used as a virtual assistant in coding operations for easier and more efficient coding. Currently, as coding education becomes mandatory around the world, students' interest in programming is heightened. The purpose of coding education is to develop the ability to solve problems and fuse different academic fields through computational thinking and creative thinking to cultivate talented persons who can adapt well to the Fourth Industrial Revolution era. However, new non-computer science major students who take software-related subjects as compulsory liberal arts subjects at university came to experience many difficulties in these subjects, which they are experiencing for the first time. AI based coding technologies can be used to solve their difficulties and to increase the learning effect of non-computer majors who come across software for the first time. Therefore, this study examines the current state of AI based coding technologies and suggests the direction of future coding education.

• 한국IT서비스학회지
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• 제20권4호
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• pp.81-93
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• 2021

In the era of artificial intelligence, the use of 'artificial intelligence-based services' has been diversified by combining various smart devices, big data, and voice recognition technology with artificial intelligence. From the perspective of IT services, these services are important technology that cause a paradigm shift from display-centered to voice-centered, and from passive to active IT-based services. This study seeks to find a solution to the current situation where AI assistant service is still in its beginning stage, despite having been ten years since its release and having a growing number of consumer touch points. Accordingly, we categorized the functions of AI assistant services and identified the degree of importance and satisfaction of services recognized by actual users. In order to define the 'ideal' services of AI assistant, seven experts from AI assistant-related industry have participated in the interview. Based on this result, we investigated the importance and satisfaction of services perceived by actual users of AI assistant services. As a result of IPA (Importance Performance Analysis). we find out which services are potentially 'keep', 'concentrate', 'low priority', or 'overkill' and provide various implications from the findings.

• 한국인공지능학회지
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• 제8권2호
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• pp.11-16
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• 2020

Among the innovative companies leading the era of the 4th industrial revolution, the world's largest Internet company is Google. Google has grown by providing convenient services such as Internet search, Android smartphone operating system, and video. Now, Google is leading the global IT industry by continuing to develop in various new business fields based on open service platforms, artificial intelligence, and big data. In this study, an exploratory discussion was conducted on Google's success factors and future directions. The purpose of the research is to understand the development process of the IT field from the successfactors of Google and to analyze the development direction of the future IT industry. Google's success factors were its open platform policy and successful acquisitions of external companies. In fact, most of the services Google offers come from companies that have acquired and acquired them. In addition, there was a corporate culture that values and supportsthe spirit of challenge and autonomy of members who are not afraid of failure. Based on this study's review of Google's direction analysis, the follow-up study will infer the direction of the IT industry in depth and look at the future technologies that IT majors need to prepare.

• International Journal of Advanced Culture Technology
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• 제10권1호
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• pp.230-235
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• 2022

This study is to select an optimal object detection algorithm for designing a self-checkout counter to improve the inconvenience of payment systems for products without existing barcodes. To this end, a performance comparison analysis of YOLO v2, Tiny YOLO v2, and the latest YOLO v5 among deep learning-based object detection algorithms was performed to derive results. In this paper, performance comparison was conducted by forming learning data as an example of 'donut' in a bakery store, and the performance result of YOLO v5 was the highest at 96.9% of mAP. Therefore, YOLO v5 was selected as the artificial intelligence object detection algorithm to be applied in this paper. As a result of performance analysis, when the optimal threshold was set for each donut, the precision and reproduction rate of all donuts exceeded 0.85, and the majority of donuts showed excellent recognition performance of 0.90 or more. We expect that the results of this paper will be helpful as the fundamental data for the development of an automatic payment system using AI self-service technology that is highly usable in the non-face-to-face era.