• Title/Summary/Keyword: Artificial Intelligence

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Review and Suggestion of Characteristics and Quality Measurement Items of Artificial Intelligence Service (인공지능 서비스 특징 및 품질측정항목의 고찰과 제안)

  • Baek, Chang Hwa;Choe, Jae Ho;Lim, Sung Uk
    • Journal of Korean Society for Quality Management
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    • v.46 no.3
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    • pp.677-694
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    • 2018
  • Purpose: The purpose of this study is to investigate various prior studies on artificial intelligence and to examine the concept and characteristics of various prior studies of existing service quality. And this paper is to study the concept and characteristics of artificial intelligence services and propose suitable quality measurement items. Methods: The research method of this paper is to examine previous research related to existing artificial intelligence and to analyze characteristics related to service quality. Results: This paper examines the concept and characteristics of artificial intelligence service in a new era by examining previous studies related to artificial intelligence and derives quality measurement items. Conclusion: In the future, it is necessary to verify the validity of the quality measurement items of artificial intelligence service. Therefore, it is necessary to elicit and verify the main quality measurement items through the investigation of the expert group.

A Study on the Impact of Artificial Intelligence Industry on Macroeconomy: Evidence from United States of America

  • He, Yugang
    • Asian Journal of Business Environment
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    • v.8 no.4
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    • pp.37-44
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    • 2018
  • Purpose - The artificial intelligence industry plays an increasingly significant role in stimulating the development of United States of America's economy. On account of this background, this paper attempts to explore the impact of artificial intelligence industry on United States of America's macroeconomy. Research design, data, and methodology - This paper mainly focuses on the impact of artificial intelligence industry on GDP, employment, real income, import, export and foreign direct investment. Furthermore, the Phillips-Perron test and Canonical cointegrating regression will be employed to examine the impact of artificial intelligence industry on United States of America's macroeconomy with a sample form 2010-Q1 to 2017-Q4. Results - Via the empirical analysis, the results reveal that the artificial intelligence industry has a positive effect on United States of America's GDP, employment, real income, export and foreign direct investment. Conversely, the artificial intelligence industry has a negative effect on United States of America's import. Conclusions - In summary, the impact of artificial intelligence industry on United States of America's macroeconomy is positive and significant in statistics. Therefore, the government of United States of America should put more input into artificial intelligence industry.

A Study on the Determinants of Artificial Intelligence Industry: Evidence from United Kingdom's Macroeconomics

  • He, Yugang
    • Korean Journal of Artificial Intelligence
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    • v.6 no.2
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    • pp.1-9
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    • 2018
  • Recently, the rapid development of artificial intelligence industry has resulted in a great change in our modern society. Due to this background, this paper takes the United Kingdom as an example to explore the determinants of artificial intelligence industry in terms of United Kingdom's macroeconomics. The quarterly time series from the first quarter of 2010 to the fourth quarter of 2017 will be employed to conduct an empirical analysis under the vector error correction model. In this paper, the real GDP, the employment figure, the real income, the foreign direct investment, the government budget and the inflation will be regarded as independent variables. The input of artificial intelligence industry will be regarded as a dependent variable. These macroeconomic variables will be applied to perform an empirical analysis so as to explore how the macroeconomic variables affect the artificial intelligence industry. The findings show that the real GDP, the real income, the foreign direct investment and the government budget are the driving determinants to promote the development of artificial intelligence industry. Conversely, the employment figure and the inflation is the obstructive determinants to hamper the development of artificial intelligence industry.

A study on the relationship between artificial intelligence and change in mathematics education (수학교육의 변화와 인공지능과의 연관성 탐색)

  • Ee, Ji Hye;Huh, Nan
    • Communications of Mathematical Education
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    • v.32 no.1
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    • pp.23-36
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    • 2018
  • Recently, we are working to utilize it in various fields with the expectation of the potential of artificial intelligence. There is also interest in applying to the field of education. In the field of education, machine learning and deep learning, which are used in artificial intelligence technology, are deeply interested in how to learn on their own. We are interested in how artificial intelligence and artificial intelligence technologies can be used in education and we have an interest in how artificial intelligence can be applied to mathematics education. The purpose of this study is to investigate the direction of mathematics education as the change of education paradigm and the development of artificial intelligence according to the development of information and communication technology. Furthermore, we examined how artificial intelligence can be applied to mathematics education.

A Research on the Development of Customized Curriculum (RAS) for Each Major for AI Education (AI 교육을 위한 전공별 맞춤형(RAS) 교육과정 개발연구)

  • Baik, Ran
    • Journal of Engineering Education Research
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    • v.25 no.5
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    • pp.44-54
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    • 2022
  • The purpose of this study is to effectively implement the artificial intelligence education required in the digital transformation era. As we enter the era of the 4th industrial revolution, the demand for a great digital transformation in industry is essential, and the nurturing of manpower is presented as an indispensable relationship in the industrial field based on it. The integration of various new technologies that have emerged from the era of the 4th industrial revolution has the greatest purpose in realizing artificial intelligence technology. As the importance of digital competency in the top curriculum reorganization has been highlighted, artificial intelligence education is necessary even in the curriculum reorganization in 2022, and there is a demand in the educational field that it should be converted into a mandatory education in middle and high schools. Artificial intelligence education according to the demands of the times is to develop an artificial intelligence curriculum in universities by reestablishing systematic artificial intelligence education in universities, setting educational goals, and presenting the goals of artificial intelligence education by major. The main direction of this study is to present the relationship between artificial intelligence and each major in university education, develop a curriculum based on artificial intelligence for each major, and link artificial intelligence software for AI education customized for each major. We would like to present a process that can measure the learning outcomes of AI education.

Legal and Institutional Issues and Improvements for the Adoption and Utilization of Artificial Intelligence in Government Services (정부서비스에서의 인공지능 도입 및 활용을 위한 법제도적 쟁점과 개선과제)

  • BeopYeon Kim
    • Journal of Information Technology Services
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    • v.22 no.4
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    • pp.53-80
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    • 2023
  • Expectations for artificial intelligence technology are increasing, and its utility value is growing, leading to active use in the public sector. The use of artificial intelligence technology in the public sector has a positive impact on aspects such as improving public work efficiency and service quality, enhancing transparency and reliability, and contributing to the development of technology and industries. For these reasons, major countries including Korea are actively developing and using artificial intelligence in the public sector. However, artificial intelligence also presents issues such as bias, inequality, and infringement of individuals' right to self-determination, which are evident even in its utilization in the public sector. Especially the use of artificial intelligence technology in the public sector has significant societal implications, as well as direct implications on limiting and infringing upon the rights of citizens. Therefore, careful consideration is necessary in the introduction and utilization of such technology. This paper comprehensively examines the legal issues that require consideration regarding the introduction of artificial intelligence in the public sector. Methodological discussions that can minimize the risks that may arise from artificial intelligence and maximize the utility of technology were proposed in each process and step of introduction.

An efficient Bi-LSTM based method for outlier detection and correction in golf swing motion estimation (골프 스윙 모션 추정에서 Bi-LSTM 기반의 효율적인 이상치 검출 및 보정 기법)

  • Ju, Chan-Yang;Park, Ji-Sung;Oh, Gyeong-Su;Choi, Hyun-Jun;Lee, Dong-Ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.11a
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    • pp.787-790
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    • 2021
  • 본 논문에서는 최신 모션 인식 기술을 활용하여 골프 스윙 비디오에서 사람의 자세를 추정한 후 다양한 원인으로 오검출된 좌표들을 보정하여 자세 추정의 정확도를 높이는 방법을 제안한다. 기존의 사람 자세 추정 모델은 골프 스윙 데이터에서 오검출, 반전, 불안정성, 미검출의 문제를 보여 정확한 자세 추정을 어렵게 했다. 이를 해결하기 위하여 본 연구에서는 자세 추정시 발생하는 이상치 데이터들을 Bi-LSTM 으로 학습하고 골프 스윙의 특징을 고려한 간단한 규칙을 통하여 이상치 데이터를 효과적으로 검출하고 이를 보정하는 방법을 제안한다. 또한 다양한 실험과 분석을 통하여 제안하는 방법이 골프 스윙 모션에서 사람의 자세를 정확히 추정할 수 있음을 보인다.

Artificial Intelligence and the meaning of language - focusing on the meaning of language in Wittgenstein's philosophy - (인공지능과 언어의 의미 - 비트겐슈타인의 '언어의 의미'를 중심으로 -)

  • Park, Jeong-sik;Jeong, Chang-rok
    • Journal of Korean Philosophical Society
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    • v.143
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    • pp.141-164
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    • 2017
  • Artificial intelligence may be said like a human being. What is different thing between artificial intelligence and human intelligence? The people think that the artificial intelligence understands the meaning of the word to see artificial intelligence saying. However, it is different that artificial intelligence is identified as understanding a human being. We apply Wittgenstein's philosophy to this problem whether the artificial intelligence understands a meaning of language. We think that the artificial intelligence does not understand a live meaning of human life.

Artificial Intelligence: Will It Replace Human Medical Doctors? (인공지능: 미래의사의 역할을 대체할 것인가)

  • Choi, Yoon Sup
    • Korean Medical Education Review
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    • v.18 no.2
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    • pp.47-50
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    • 2016
  • Development of artificial intelligence is expected to revolutionize today's medicine. In fact, medicine was one of the areas to which advances in artificial intelligence technology were first applied. Recently, state-of-the-art artificial intelligence, especially deep learning technology, has been actively utilized to treat cancer patients and analyze medical image data. Application of artificial intelligence has the potential to fundamentally change various aspects of medicine, including the role of human doctors, the clinical decision-making process, and even overall healthcare systems. Facing such fundamental changes is unavoidable, and we need to prepare to effectively integrate artificial intelligence into our medical system. We should re-define the role of human doctors, and accordingly, medical education should also be altered. In this article, we will discuss the current status of artificial intelligence in medicine and how we can prepare for such changes.

Development of Evaluation Framework for Adopting of a Cloud-based Artificial Intelligence Platform (클라우드 기반 인공지능 플랫폼 도입 평가 프레임워크 개발)

  • Kwang-Kyu Seo
    • Journal of the Semiconductor & Display Technology
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    • v.22 no.3
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    • pp.136-141
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    • 2023
  • Artificial intelligence is becoming a global hot topic and is being actively applied in various industrial fields. Not only is artificial intelligence being applied to industrial sites in an on-premises method, but cloud-based artificial intelligence platforms are expanding into "as a service" type. The purpose of this study is to develop and verify a measurement tool for an evaluation framework for the adoption of a cloud-based artificial intelligence platform and test the interrelationships of evaluation variables. To achieve this purpose, empirical testing was conducted to verify the hypothesis using an expanded technology acceptance model, and factors affecting the intention to adopt a cloud-based artificial intelligence platform were analyzed. The results of this study are intended to increase user awareness of cloud-based artificial intelligence platforms and help various industries adopt them through the evaluation framework.

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