• Title/Summary/Keyword: AI 윤리

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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
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    • v.10 no.8
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    • pp.195-203
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    • 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.

Design of Liberal Arts Subjects for Artificial Intelligence Education for Pre-Teachers in Elementary and Secondary Schools (초중등 예비교사의 인공지능 교육을 위한 교양 교과목 설계)

  • Jun, SooJin;Jeon, YongJu;Jeong, InKee
    • Journal of The Korean Association of Information Education
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    • v.25 no.5
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    • pp.859-869
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    • 2021
  • The purpose of this study was to develop an AI liberal arts subject for pre-service teachers of all majors in elementary and middle school. To this end, the main areas of the AI curriculum, sub-themes for each week, and activities were specifically designed and verified through two rounds of Delphi by 13 experts. The AI liberal arts curriculum in this study consists of three areas. Then, detailed topics for each week were confirmed, and a total of 13 weeks were arranged according to the natural flow. It was intended to help teaching and learning by arranging learning activities based on the experiential learning model according to the learning content. It is expected that this study will be used as basic data for the development of various AI education subjects for pre-service teachers in elementary and secondary schools in the future.

The Artificial Intelligence Literacy Scale for Middle School Students

  • Kim, Seong-Won;Lee, Youngjun
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.3
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    • pp.225-238
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    • 2022
  • Although the importance of literacy in Artificial Intelligence (AI) education is increasing, there is a lack of testing tools for measuring such competency. To address this gap, this study developed a testing tool that measures AI literacy among middle school students. This goal was achieved through the establishment of an expert group that was enlisted to determine the relevant factors and items covered by the proposed tool. To verify the reliability and validity of the developed tool, a field review, exploratory factor analysis, and confirmatory factor analysis were conducted. These procedures resulted in a testing tool comprising six domains that encompass 30 items. The domains are the social impact of AI (eight items), the understanding of AI (six items), AI execution plans (five items), problem solving with AI (five items), data literacy (four items), and AI ethics (two questions). The items are to be rated using a five-point Likert scale. The internal consistency of the tool was .970 (total), while that of the domains ranged from .861 to .939. This study can serve as reference for developing the analysis of AI literacy, teaching and learning, and evaluation in AI education.

Analysis of Daily Internet·Gaming·Smartphone Habit and Preference Factors of Moral Machine (인터넷·게임·스마트폰생활 습관과 모랄머신 선호도 요인 분석)

  • Park, SunJu
    • Journal of The Korean Association of Information Education
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    • v.24 no.1
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    • pp.21-28
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    • 2020
  • Technological advancements such as artificial intelligence, robots, and big data are revolutionizing the entire society. In this paper, we analyzed preliminary teachers' daily internet/gaming/smartphone habit and the difference between preference factors in gender and diagnosis group in the situation of ethical dilemma in driverless cars. The result shows most of the male students are in high risk group of daily internet/gaming usage, and male students tend to be more immersed in games compared to female students, which negatively affects their daily lives. Students who have at least one of the daily internet/gaming/smartphone habits are more likely to be classified as high-risk group in all three of daily internet/gaming/smartphone habit. Fortunately, the students perceived themselves addicted and wanted change their habits. An analysis by a moral machine of these students tells that there is no significant difference in preference between male and female students and among diagnosis groups. However, specifically in the ethical dilemma of driverless cars, all the groups of male, female, normal, high-risk showed they have priority in pedestrians over drivers, a large number of people over small, and people who obey traffic rules over who do not. The tendency was pronounced in female group and high-risk students prioritized people who are older and in lower social status.

A Comparative Study on Discrimination Issues in Large Language Models (거대언어모델의 차별문제 비교 연구)

  • Wei Li;Kyunghwa Hwang;Jiae Choi;Ohbyung Kwon
    • Journal of Intelligence and Information Systems
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    • v.29 no.3
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    • pp.125-144
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    • 2023
  • Recently, the use of Large Language Models (LLMs) such as ChatGPT has been increasing in various fields such as interactive commerce and mobile financial services. However, LMMs, which are mainly created by learning existing documents, can also learn various human biases inherent in documents. Nevertheless, there have been few comparative studies on the aspects of bias and discrimination in LLMs. The purpose of this study is to examine the existence and extent of nine types of discrimination (Age, Disability status, Gender identity, Nationality, Physical appearance, Race ethnicity, Religion, Socio-economic status, Sexual orientation) in LLMs and suggest ways to improve them. For this purpose, we utilized BBQ (Bias Benchmark for QA), a tool for identifying discrimination, to compare three large-scale language models including ChatGPT, GPT-3, and Bing Chat. As a result of the evaluation, a large number of discriminatory responses were observed in the mega-language models, and the patterns differed depending on the mega-language model. In particular, problems were exposed in elder discrimination and disability discrimination, which are not traditional AI ethics issues such as sexism, racism, and economic inequality, and a new perspective on AI ethics was found. Based on the results of the comparison, this paper describes how to improve and develop large-scale language models in the future.

Analyzing Traffic Impacts of the Utilitarian Robotic Autonomous Vehicle (자율주행차량의 윤리적 문제 점검을 위한 시뮬레이션 연구)

  • Im, I-Jeong;Kim, Kwan-Yong;Lee, Ja-Young;Hwang, Kee-Yeon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.16 no.2
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    • pp.55-72
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    • 2017
  • Autonomous Vehicles(AV) are considered as an alternative to solve various social problems. Many researches which are related to developing technologies and AV operations have been conducted vastly and on-going. However, there seem to be little studies on various influences of AI algorithm on driving installed in AV. This study aims to examine the impacts of the ethical decisions made by Utilitarianism-based AI in AV when the oncoming car crossed over the central line. It establishes scenarios about situation of encroaching a central line and analyzes traffic impacts of ethical decision made by AV. According to the results of the analyses, as th accident occurs, overall speed of traffic decrease. There is a negative impact on the traffic flow when AV made an Utilitarian-based ethical decision by changing the lane. However, when AV choose to collide head-on, there is a positive effect to relieve traffic flow with an assistance of CACC, equipped.

A study on community care using AI technology (AI 기술을 활용한 커뮤니티케어에 관한 연구)

  • Seungae Kang
    • Convergence Security Journal
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    • v.23 no.5
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    • pp.151-156
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    • 2023
  • Currently, ICT is widely used in caring for the elderly living alone and preventing the disappearance of the elderly with dementia. Therefore, in this study, based on the government policy direction for the 4th industrial revolution, the use of AI technology-based care services, which are gradually increasing in community care, was sought to explore the current status and prospects for utilization and activation.AI speakers and caring robots, services that can be used for community care, help solve various problems experienced by the elderly, and are also used to relieve lack of conversation or loneliness by adding emotional functions. In order to activate community care using AI technology in the future: First, there is a need for continuous education to familiarize the elderly with AI devices and 'user experience (UX) design' for the elderly. Second, it is necessary to use human-centered technology that has a complementary relationship and enables emotional mutual relationships rather than using function-oriented technology. Third, it is necessary to solve ethical problems such as guaranteeing the user's right to self-determination and protecting privacy.

An Exploratory Study on Developing the AI Essay Test Tool based on ChatGPT: Focusing on the Interaction with the Engineer (ChatGPT를 활용한 AI 글쓰기 의사소통 역량 평가도구 개발 과정에 대한 연구: 기술 전문가와의 상호소통을 중심으로)

  • So-Young Park;ByungYoon Lee;Yujung Hong
    • Journal of Practical Engineering Education
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    • v.16 no.1_spc
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    • pp.21-31
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    • 2024
  • This study focused on the development of an AI essay tool for assessing writing-communication competence using ChatGPT. During the development process, the interaction between content expert and technical expert was emphasized to explore the fusion of IT and humanities and social sciences. Through close communication and interaction between the content and technical experts, they incorporated scoring criteria for writing-communication competence and developed an AI essay test tool that provides scores and feedback in the appropriateness of content, effectiveness of organization, and accuracy of grammar. This process revealed how content and technology combine and presented considerations for future fusion researchers, including technical experts in generative AI assessment tools.

A Study on Issues and Tasks of Humanity and Social Science in a Fourth Industrial Revolution Era (제4차 산업혁명시대 인문사회학적 쟁점과 과제에 관한 연구)

  • Kim, Jin-Young;Heo, Wan-Gyu
    • Journal of Digital Convergence
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    • v.16 no.11
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    • pp.137-147
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    • 2018
  • To prepare for and implement policies for the Fourth Industrial Revolution, which is characterized by convergence, super-connectivity, and AI, this study summarized the effects and characteristics of individual technologies on our society and discussed the issues with humanity and social science perspectives. As a result, in terms of AI technology, the issues of job losses, project-type works, basic income and robot taxes, accountability of AI, and algorithm inequality were dealt with. Security, cyber hacking and privacy infringement issues were highlighted in big-data technology. In the part of block-chain and bioengineering, the society of decentralization, the concentration, digital divide, and ethical issues were discussed. On-demand economic aspects highlighted the problems of civil ethics and human commercialization. Lastly, the development of VR is discussed including side effects such as cyber-syndrom, avoidance of reality, and so on.

In the Digital Big Data Classroom Reality and Application of Smart Education : Learner-Centered Education using Edutech (디지털 빅데이터 교실에서 스마트교육의 실제와 활용 : 에듀테크를 활용한 학습자 중심 교육)

  • Kim, Seong-Hee
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.4
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    • pp.279-286
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    • 2021
  • In this study, we looked at the appearance of Edutech, which is being put into the educational field after Corona 19, with the advent of the 4th industrial revolution. In the era of the 4th industrial revolution, the infrastructure, data, and service of Smart Stick that actively utilized ICT became the main pillars of smart education. In particular, smart education is being implemented through e-learning, smart learning, and edutech, and on this basis, it has become possible through the expansion and use of the Internet and computers, the dissemination of smart devices, and a software foundation using big data. Based on this, it was confirmed that Edutech is being implemented through the establishment of a quarantine safety net, a learning safety net, and a care safety net for individual learners and safe life based on artificial intelligence. Lastly, in order for edutech education using big data to become a discourse for everyone, it is necessary to consider artificial intelligence and ethics in the use and application of edutech.