• Title/Summary/Keyword: AI (artificial intelligence)

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A Study on The Need for AI Literacy According to The Development of Artificial Intelligence Chatbot (인공지능 챗봇 발전에 따른 AI 리터러시 필요성 연구)

  • Cheol-Seung Lee;Hye-Jin Baek
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.3
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    • pp.421-426
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    • 2023
  • Among artificial intelligence convergence technologies, Chatbot is an artificial intelligence-based interactive system and refers to a system that can provide interaction with humans. Chatbots are being re-examined as chatbots develop into NLP, NLU, and NLG. However, artificial intelligence chatbots can provide biased information based on learned data and cause serious damage such as privacy infringement and cybersecurity concerns, and it is essential to understand artificial intelligence technology and foster AI literacy. With the continued evolution and universalization of artificial intelligence, AI Literacy will also expand its scope and include new areas. This study is meaningful in raising awareness of artificial intelligence technology and proposing the use of human respect technology that is not buried in technology by cultivating human AI literacy capabilities.

Development of a Web Service for Cosmetics Recommendation based on an Artificial Intelligence for User Personal Color Generation (사용자 퍼스널 컬러 생성을 위한 인공지능 기반 화장품 추천 웹 서비스 개발)

  • Suk-Hyung Hwang;Min-Taek Lim;Hun-Tae Hwang;Seung-Jun Lee;Soo-Hwan Kim;Se-Woong Hwang
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.01a
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    • pp.461-463
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    • 2023
  • MZ세대를 중심으로 자기관리를 열심히 하는 사람들이 증가함에 따라 화장의 기본이 되는 개인 피부톤(퍼스널 컬러)을 찾는 것이 중요시되고 있다. 현재 대다수 사람은 자신에게 어울리는 퍼스널 컬러를 찾기 위해 높은 비용을 지불하여 전문가를 이용하거나 객관적이고 정량화된 기준 없이 오랜 시간을 투자하여 스스로 퍼스널 컬러를 찾는 등 시간과 비용 측면에서의 한계점을 가지고 있다. 본 논문에서는 이를 보완하기 위해 이미지 기반 인공지능 기술(객체 탐지, 객체 분할, BeautyGAN)을 적용하여 데이터 기반의 정량적인 기준을 생성하고, 퍼스널 컬러에 알맞은 화장품 추천 웹 서비스를 제안한다.

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A Literature Review Study in the Field of Artificial Intelligence (AI) Aplications, AI-Related Management, and AI Application Risk (인공지능의 활용, 프로젝트 관리 그리고 활용 리스크에 대한 문헌 연구)

  • Lee, Zoon-Ky;Nam, Hyo-Kyoung
    • Informatization Policy
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    • v.29 no.2
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    • pp.3-36
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    • 2022
  • Most research in artificial intelligence (AI) has focused on the development of new algorithms. But as artificial intelligence has been spreading over many applications and gaining more attention from managers in the organization, academia has begun to understand the necessity of developing new artificial intelligence theories related to AI management. We reviewed recent studies in the field from 2015, and further analysis has been done for 785 studies chosen based on citation numbers of over 20. The results show that most studies have still been in the prototyping application phase of artificial intelligence across different industries. We conclude our study by calling for more research in the application of artificial intelligence in terms of organizational structures and project and risk management.

Development of Convergence Educational Program Using AI Platform: Focusing on Environmental Education for Grades 5-6 (인공지능 플랫폼을 활용한 융합수업안 개발 : 5-6학년 환경교육을 중심으로)

  • Choi, Heyoungyun;Shin, Seungki
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.213-221
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    • 2021
  • With the advent of the 4th industrial revolution, the need for artificial intelligence education has increased. The online learning environment caused by COVID-19 made it possible to use variety of artificial intelligence platforms. In this study, an aritificial intelligence class plan was developed and proposed to achieve the goal of artificial intelligence education using an AI platform. The AI platform used is AI for Oceans, With the theme of creating a program for the environment, designed a 6-hour project class using Novel Engineering-based on STEAM model. Students experience AI for Oceans enough time and learn supervised learning by experience. Based on understanding of supervised learning, students design their own programs for the environment using Entry's AI blocks. In this study, for AI convergence education, this lesson was developed and presented with the goal of acquiring the creative problem solving ability and integrated thinking ability by using the principles of artificial intelligence to solve problems.

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Design and Utilization of Connected Data Architecture-based AI Service of Mass Distributed Abyss Storage (대용량 분산 Abyss 스토리지의 CDA (Connected Data Architecture) 기반 AI 서비스의 설계 및 활용)

  • Cha, ByungRae;Park, Sun;Seo, JaeHyun;Kim, JongWon;Shin, Byeong-Chun
    • Smart Media Journal
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    • v.10 no.1
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    • pp.99-107
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    • 2021
  • In addition to the 4th Industrial Revolution and Industry 4.0, the recent megatrends in the ICT field are Big-data, IoT, Cloud Computing, and Artificial Intelligence. Therefore, rapid digital transformation according to the convergence of various industrial areas and ICT fields is an ongoing trend that is due to the development of technology of AI services suitable for the era of the 4th industrial revolution and the development of subdivided technologies such as (Business Intelligence), IA (Intelligent Analytics, BI + AI), AIoT (Artificial Intelligence of Things), AIOPS (Artificial Intelligence for IT Operations), and RPA 2.0 (Robotic Process Automation + AI). This study aims to integrate and advance various machine learning services of infrastructure-side GPU, CDA (Connected Data Architecture) framework, and AI based on mass distributed Abyss storage in accordance with these technical situations. Also, we want to utilize AI business revenue model in various industries.

Application of Artificial Intelligence for the Management of Oral Diseases

  • Lee, Yeon-Hee
    • Journal of Oral Medicine and Pain
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    • v.47 no.2
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    • pp.107-108
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    • 2022
  • Artificial intelligence (AI) refers to the use of machines to mimic intelligent human behavior. It involves interactions with humans in clinical settings, and augmented intelligence is considered as a cognitive extension of AI. The importance of AI in healthcare and medicine has been emphasized in recent studies. Machine learning models, such as genetic algorithms, artificial neural networks (ANNs), and fuzzy logic, can learn and examine data to execute various functions. Among them, ANN is the most popular model for diagnosis based on image data. AI is rapidly becoming an adjunct to healthcare professionals and is expected to be human-independent in the near future. The introduction of AI to the diagnosis and treatment of oral diseases worldwide remains in the preliminary stage. AI-based or assisted diagnosis and decision-making will increase the accuracy of the diagnosis and render treatment more precise and personalized. Therefore, dental professionals must actively initiate and lead the development of AI, even if they are unfamiliar with it.

Development of Artificial Intelligence Instructional Program using Python and Robots (파이썬과 로봇을 활용한 인공지능(AI) 교육 프로그램 개발)

  • Yoo, Inhwan;Jeon, Jaecheon
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.369-376
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    • 2021
  • With the development of artificial intelligence (AI) technology, discussions on the use of artificial intelligence are actively taking place in many fields, and various policies for nurturing artificial intelligence talents are being promoted in the field of education. In this study, we propose a robot programming framework using artificial intelligence technology, and based on this, we use Python, which is used frequently in the machine learning field, and an educational robot that is highly utilized in the field of education to provide artificial intelligence. (AI) education program was proposed. The level of autonomous driving (levels 0-5) suggested by the International Society of Automotive Engineers (SAE) is simplified to four levels, and based on this, the camera attached to the robot recognizes and detects lines (objects). The goal was to make a line detector that can move by itself. The developed program is not a standardized form of solving a given problem by simply using a specific programming language, but has the experience of defining complex and unstructured problems in life autonomously and solving them based on artificial intelligence (AI) technology. It is meaningful.

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Development of a Curriculum of Department of AI Operation based on Industrial Demands -Focusing on the Case of C University (산업체 수요를 반영한 AI 운영학과 교육과정 개발 -C 대학 사례를 중심으로)

  • Park, Jong jin
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.795-799
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    • 2022
  • In recent years, with the rapid development of artificial intelligence technology and an explosion of interest in it, education on artificial intelligence is spreading to various fields. As a result, many universities are establishing artificial intelligence-related departments or expanding their quota. In line with this trend, University C has newly established the AI operation department in line with the industrial base in the region. In this paper, a curriculum was developed for the newly established AI operation department, and this curriculum was designed and developed focusing on subjects reflecting the demands of industries based on AIOps (Artificial intelligence for IT Operations). To this end, a consultative body was formed with industry experts, and opinions were collected through a survey.

Exploring teaching and learning methods using artificial intelligence (AI) in the mathematics classroom : Focusing on the development of middle school statistic scenarios (수학교실에서 인공지능(AI)을 활용한 교수학습 방안 탐색 : 중학교 통계 단원 시나리오 개발을 중심으로)

  • Choi, Inseon
    • Journal of the Korean School Mathematics Society
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    • v.25 no.2
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    • pp.149-174
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    • 2022
  • The purpose of this study is to explore the teaching and learning method using artificial intelligence (AI) in the mathematics classroom. To this end, to predict the direction of mathematics education using AI in the mathematics classroom, this study investigates the fields where AI is applied to education, and discuss issues to consider when introducing AI through scenario development using AI in middle school statistics. This study is meaningful in that it specifically considered how artificial intelligence can be grafted into the mathematics classroom through the development of scenarios that integrate and apply artificial intelligence that has been developed and used segmentally in the current middle school statistics. Afterwards, based on the contents of this study, implications for using AI in the math classroom were derived.

Seoul PACT : Principles of Artificial Intelligence Ethics and its Application Example to Intelligent E-Government Service (인공지능 윤리 원칙 Seoul PACT를 적용한 지능형 전자정부 서비스 윤리 가이드라인)

  • Kim, Myuhng Joo
    • Journal of Information Technology Services
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    • v.18 no.3
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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.