• Title/Summary/Keyword: Ai and Literature Convergence

Search Result 48, Processing Time 0.025 seconds

Emotion Coding of Sijo Crying Cuckoo at the Empty Mountain (시조 「공산에 우는 접동」의 감정 코딩)

  • Park, Inkwa
    • The Journal of the Convergence on Culture Technology
    • /
    • v.5 no.1
    • /
    • pp.13-20
    • /
    • 2019
  • This study aims to study the codes that can code the Sijo's emotional codes into AI and use them in literature therapy. In this study, we conducted emotional coding of the Sijo Crying Cuckoo at the Empty Mountain. As a result, the Emotion Codon was able to indicate the state of sadness catharsis. This implanting of the Sijo's emotional codes into Emotion Codon is like implanting human emotions into AI. If the basic emotion codes are implanted in the Emotion Codon and induced of AI's self-learning, We think AI can combine various emotions that occur in the human body. AI can then replace human emotions, which can be useful in treating of human emotions. It is believed that continuing this study will induce human emotions to heal the mind and spirit.

Development of AI Convergence Education Model Based on Machine Learning for Data Literacy (데이터 리터러시를 위한 머신러닝 기반 AI 융합 수업 모형 개발)

  • Sang-Woo Kang;Yoo-Jin Lee;Hyo-Jeong Lim;Won-Keun Choi
    • Advanced Industrial SCIence
    • /
    • v.3 no.1
    • /
    • pp.1-16
    • /
    • 2024
  • The purpose of this study is to develop a machine learning-based AI convergence class model and class design principles that can foster data literacy in high school students, and to develop detailed guidelines accordingly. We developed a machine learning-based teaching model, design principles, and detailed guidelines through research on prior literature, and applied them to 15 students at a specialized high school in Seoul. As a result of the study, students' data literacy improved statistically significantly (p<.001), so we confirmed that the model of this study has a positive effect on improving learners' data literacy, and it is expected that it will lead to related research in the future.

Research on the Strategic Use of AI and Big Data in the Food Industry to Drive Consumer Engagement and Market Growth

  • Taek Yong YOO;Seong-Soo CHA
    • The Korean Journal of Food & Health Convergence
    • /
    • v.10 no.1
    • /
    • pp.1-6
    • /
    • 2024
  • Purpose: The research aims to address the intricacies of AI and Big Data application within the food industry. This study explores the strategic implementation of AI and Big Data in the food industry. The study seeks to understand how these technologies can be employed to bolster consumer engagement and contribute to market expansion, while considering ethical implications. Research Method: This research employs a comprehensive approach, analyzing current trends, case studies, and existing academic literature. It focuses on the application of AI and Big Data in areas such as supply chain management, consumer behavior analysis, and personalized marketing strategies. Results: The study finds that AI and Big Data significantly enhance market analytics, consumer personalization, and market trend prediction. It highlights the potential of these technologies in creating more efficient supply chains, improving consumer satisfaction through personalization, and providing valuable market insights. Conclusion and Implications: The paper offers actionable insights and recommendations for the effective implementation of AI and Big Data strategies in the food industry. It emphasizes the need for ethical considerations, particularly in data privacy and the transparency of AI algorithms. The study also explores future trends, suggesting that AI and Big Data will continue to revolutionize the industry, emphasizing sustainability, efficiency, and consumer-centric practices.

Development of the Contents of AI Convergence Education Method Subjects and Verification of Teaching Efficacy Effectiveness for Elementary and Secondary Teachers

  • Kim, Jeong-Rang
    • Journal of the Korea Society of Computer and Information
    • /
    • v.27 no.3
    • /
    • pp.217-223
    • /
    • 2022
  • In this paper, the needs and environment of the 'AI Convergence Education Method' were analyzed for elementary and secondary teachers, and based on this, teaching efficacy of informatics education was verified. For the research, elementary and secondary teachers who take the subject were selected, and based on the results of analyzing the general characteristics, pre-knowledge level, and needs of the subject, curriculum for 15 weeks was developed. As a result of verifying the teaching efficacy effectiveness of the developed 'AI Convergence Education Method' subject for 15 weeks, the effectiveness of the information education teaching efficacy was verified. Among the factors, there were statistically significant differences in information teaching values and information teaching strategies. In the future, it is necessary to conduct follow-up research to secure teachers' professionalism, such as linking with schools and convergence with other subjects. Various teaching and learning materials and teaching and learning methods such as educational contents and materials, reference literature, and artificial intelligence education platforms need to be prepared.

Research on Utilization of AI in the Media Industry: Focusing on Social Consensus of Pros and Cons in the Journalism Sector (미디어 산업 AI 활용성에 관한 고찰 : 저널리즘 분야 적용의 주요 쟁점을 중심으로)

  • Jeonghyeon Han;Hajin Yoo;Minjun Kang;Hanjin Lee
    • The Journal of the Convergence on Culture Technology
    • /
    • v.10 no.3
    • /
    • pp.713-722
    • /
    • 2024
  • This study highlights the impact of Artificial Intelligence (AI) technology on journalism, discussing its utility and addressing major ethical concerns. Broadcasting companies and media institutions, such as the Bloomberg, Guardian, WSJ, WP, NYT, globally are utilizing AI for innovation in news production, data analysis, and content generation. Accordingly, the ecosystem of AI journalism will be analyzed in terms of scale, economic feasibility, diversity, and value enhancement of major media AI service types. Through the previous literature review, this study identifies key ethical and social issues in AI journalism as well. It aims to bridge societal and technological concerns by exploring mutual development directions for AI technology and the media industry. Additionally, it advocates for the necessity of integrated guidelines and advanced AI literacy through social consensus in addressing these issues.

Ethical and Legal Implications of AI-based Human Resources Management (인공지능(AI) 기반 인사관리의 윤리적·법적 영향)

  • Jungwoo Lee;Jungsoo Lee;Ji Hun kwon;Minyi Cha;Kyu Tae Kim
    • Journal of the Institute of Convergence Signal Processing
    • /
    • v.25 no.2
    • /
    • pp.100-112
    • /
    • 2024
  • This study investigates the ethical and legal implications of utilizing artificial intelligence (AI) in human resource management, with a particular focus on AI interviews in the recruitment process. AI, defined as the capability of computer programs to perform tasks associated with human intelligence such as reasoning, learning, and adapting, is increasingly being integrated into HR practices. The deployment of AI in recruitment, specifically through AI-driven interviews, promises efficiency and objectivity but also raises significant ethical and legal concerns. These concerns include potential biases in AI algorithms, transparency in AI decision-making processes, data privacy issues, and compliance with existing labor laws and regulations. By analyzing case studies and reviewing relevant literature, this paper aims to provide a comprehensive understanding of these challenges and propose recommendations for ensuring ethical and legal compliance in AI-based HR practices. The findings suggest that while AI can enhance recruitment efficiency, it is imperative to establish robust ethical guidelines and legal frameworks to mitigate risks and ensure fair and transparent hiring practices.

Artificial Intelligence: Cultural Imagination and Social System (인공지능: 그 문화적 상상력과 사회적 시스템)

  • Song, Young-Hyun;Lee, Hye-Kyoung
    • Journal of the Korea Convergence Society
    • /
    • v.10 no.8
    • /
    • pp.195-203
    • /
    • 2019
  • The aim of this study is to explore the paradigm shifts in culture and system related to life in terms of AI and the present point of view in which creating human values together are important. An approach that focuses on how AI-related phenomena work in modern society forms the basis of this research. Therefore, to clarify the meaning of "AI phenomenon" converging it as a part of social culture, this study was intended to find out the value incorporated in the social system such as ethics and equality together with the literature review. Inferring the technical culture that are combined with the AI that the members of society can do together is as important as technical understanding in the functional aspect. Therefore, this study was intended to suggest new culture that the cultural imagination and the social system create harmonizing each other, that is, the possibility of "AI culture". So, this article has a characteristic of a preliminary study, too.

Development of a Home Economics Education Program for the Consumer Life Area to Enhance Artificial Intelligence Literacy in Middle School Students (중학생의 인공지능 리터러시 함양을 위한 가정과 소비생활 영역 교육 프로그램 개발)

  • You Jin Jung;Kyung Won Lee
    • Human Ecology Research
    • /
    • v.62 no.3
    • /
    • pp.517-530
    • /
    • 2024
  • This study aims to develop and validate a home economics education program focused on the consumer life area to enhance artificial intelligence (AI) literacy. To achieve this objective, a 10-session AI-consumer life integration education program was developed by analyzing literature on AI Literacy, AI curriculum, consumer education, and the home economics curriculum for the middle school consumer life area. The program's validity was assessed by nine teachers using a four-point Likert scale. The average scores for each item and the content validity index (CVI) were calculated. Based on expert feedback, the program was revised and improved accordingly. The expert validity assessment of the lesson plans, teaching materials and learning resources resulted in an average score of 3.78 for all items and an average CVI of 0.96. For the overall program, the expert validity assessment yielded an average score of 3.72 for all items and an average CVI of 0.97. Since the content validity index for all questions was above 0.78, the program demonstrated high validity across achievement standards integration, learning objectives, content and teaching methods, motivation, and volume areas. This confirms its effectiveness as an educational program for enhancing AI literacy. This study is significant in terms of defining and identifying the components of AI literacy, developing an AI-integrated program encompassing the entire consumer life area and confirming the suitability of the home economics curriculum for enhancing digital consumer competencies and promoting sustainable consumption. Additionally, it highlights the potential to integrate AI into the home economics and consumer life area.

A study on User Experience of Artificial Intelligence speaker (인공지능 스피커(AI speaker) 사례 분석을 통한 고찰)

  • Jo, Gyu-Eun;Kim, Seung-In
    • Journal of the Korea Convergence Society
    • /
    • v.9 no.8
    • /
    • pp.127-133
    • /
    • 2018
  • The purpose of this study is to analyze the technology trend of artificial intelligent speaker(AI speaker) and to suggest direction of domestic AI speaker through the case study of AI speaker. As a research method, technical background was studied through literature, and then, case of AI speaker was investigated. As a result, It attempts to extend it to the visual interface. One of these attempts is attention to the built-in screen AI speaker. AI speakers should be a platform for humans and computers to interact with, not just convenience facilities. Based on the implications presented in this study, we hope to be able to use it as a reference for predicting the service development direction of domestic artificial intelligent speakers in the future.

Artificial Intelligence and Literary Sensibility (인공지능과 문학 감성의 상호 연결)

  • Seunghee Sone
    • Science of Emotion and Sensibility
    • /
    • v.26 no.4
    • /
    • pp.115-124
    • /
    • 2023
  • This study explores the intersection of literary studies and artificial intelligence (AI), focusing on the common theme of human emotions to foster complementary advancements in both fields. By adopting a comparative perspective, the paper investigates emotion as a shared focal point, analyzing various emotion-related concepts from both literary and AI perspectives. Despite the scarcity of research on the fusion of AI and literary studies, this study pioneers an interdisciplinary approach within the humanities, anticipating future developments in AI. It proposes that literary sensibility can contribute to AI by formalizing subjective literary emotions, thereby enhancing AI's understanding of complex human emotions. This paper's methodology involves the terminology-centered extraction of emotions, aiming to blend subjective imagination with objective technology. This fusion is expected to not only deepen AI's comprehension of human complexities but also broaden literary research by rapidly analyzing diverse human data. The study emphasizes the need for a collaborative dialogue between literature and engineering, recognizing each field's limitations while pursuing a convergent enhancement that transcends these boundaries.

  • PDF