• International journal of advanced smart convergence
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• 제10권3호
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• pp.59-65
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• 2021

In this paper, we propose the AI certification standardization activities for systematic research and planning for the standardization of trustworthy artificial intelligence (AI). The activities will be in two-fold. In the stage 1, we investigate the scope and possibility of standardization through AI reliability technology research targeting international standards organizations. And we establish the AI reliability technology standard and AI reliability verification for the feasibility of the AI reliability technology/certification standards. In the stage 2, based on the standard technical specifications established in the previous stage, we establish AI reliability certification program for verification of products, systems and services. Along with the establishment of the AI reliability certification system, a global InterOp (Interoperability test) event, an AI reliability certification international standard meetings and seminars are to be held for the spread of AI reliability certification. Finally, TAIPP (Trustworthy AI Partnership Project) will be established through the participation of relevant standards organizations and industries to overall maintain and develop standards and certification programs to ensure the governance of AI reliability certification standards.

• 한국인공지능학회지
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• 제11권3호
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• pp.1-5
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• 2023

With recent advancements in artificial intelligence (AI) technology, more products based on AI are being launched and used. However, using AI safely requires an awareness of the potential risks it can pose. These concerns must be evaluated by experts and users must be informed of the results. In response to this need, many countries have implemented certification programs for products based on AI. In this study, we analyze several trends and differences in AI product certification programs across several countries and emphasize the importance of such programs in ensuring the safety and trustworthiness of products that include AI. To this end, we examine four international AI product certification programs and suggest methods for improving and promoting these programs. The certification programs target AI products produced for specific purposes such as autonomous intelligence systems and facial recognition technology, or extend a conventional software quality certification based on the ISO/IEC 25000 standard. The results of our analysis show that companies aim to strategically differentiate their products in the market by ensuring the quality and trustworthiness of AI technologies. Additionally, we propose methods to improve and promote the certification programs based on the results. These findings provide new knowledge and insights that contribute to the development of AI-based product certification programs.

• 한국항행학회논문지
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• 제28권4호
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• pp.466-471
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• 2024

항공 분야에도 머신러닝 (ML; machine learning) 기반의 인공지능(AI; artificial intelligence)를 활용하는 시스템 개발이 본격적으로 시작되었다. 항공용 소프트웨어는 항공무선기술위원회(RTCA; Radio Technical Commission for Aeronautics) DO-178C 또는 DO-278A 등의 표준을 통해 안전성 보증을 하고 있으며, 이 표준들은 결정론적 특성과 설명가능성을 내재한 소프트웨어를 대상으로 개발되었고 잘 적용된다. 반면 ML 기반 AI는 그 특성을 고려할 때, 이러한 기존 소프트웨어 인증 표준 적용만으로는 그 신뢰성을 제대로 보증하기 어렵다. 본 논문에서는 유럽항공안전청(EASA; european union aviation safety agency)이 이에 대응하기 위해 제시하는 새로운 인증 방법론에 대해 알아보고, AI가 적용된 항공 소프트웨어 인증을 위해 국내 규제당국과 산업계가 어떤 준비를 해야 하는지 논의한다.

• 한국BIM학회 논문집
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• 제14권2호
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• pp.25-34
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• 2024

This study proposes a new methodology to increase the flexibility and efficiency of the design data evaluation system by combining Building Information Modeling (BIM) technology in the architectural industry, OpenAI's interactive artificial intelligence, and ChatGPT. BIM technology plays an important role in digitally modeling and managing architectural information. Since architectural information is included, research and development are underway to review and evaluate BIM data according to conditions through program development. However, in the process of reviewing BIM design data, if the review criteria or evaluation criteria according to design change occur frequently, it is necessary to update the program anew. In order for designers or reviewers to apply the changed criteria, requesting a program developer will delay time. This problem was studied by using ChatGPT to modify and update the design data evaluation program code in real time. In this study, it is aimed to improve the changing standards and accuracy by enabling programming non-professionals to change the design regulations and calculation standards of the BIM evaluation program system using ChatGPT. In this study, in the BIM-based design certification automation evaluation program, a program in which the automation evaluation method is being studied based on the design certification evaluation manual was first used. In the design certification automation evaluation program, the programming non-majors checked the automation evaluation code by linking ChatGPT, and the changed calculation criteria were created and modified interactively. As a result of the evaluation, the change in the calculation standard was explained to ChatGPT and the applied result was confirmed.

• 한국항해항만학회지
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• 제47권2호
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• pp.57-65
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• 2023

In 2017, the International Maritime Organization (IMO) adopted MSC.428 (98), which recommends establishing a cyber-risk management system in Ship Safety Management Systems (SMSs) from January 2021. The 27th International Association of Marine Aids to Navigation and Lighthouse Authorities (IALA) also discussed prioritizing cyber-security (cyber-risk management) in developing systems to support Maritime Autonomous Surface Ship (MASS) operations (IALA guideline on developments in maritime autonomous surface ships). In response to these international discussions, Korea initiated the Korea Autonomous Surface Ship technology development project (KASS project) in 2020. Korea has been carrying out detailed tasks for cybersecurity technology development since 2021. This paper outlines the basic concept of ship network security equipment for supporting MASS ship operation in detailed task of cybersecurity technology development and defines ship network security equipment interface for MASS ship applications.

• Journal of Information Processing Systems
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• 제17권3호
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• pp.505-517
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• 2021

This research presented an implementation of autostereoscopic virtual three-dimensional (3D) button device as non-contact style. The proposed device has several characteristics about visible feature, non-contact use and artificial intelligence (AI) engine. The device was designed to be contactless to prevent virus contamination and consists of 3D buttons in a virtual stereoscopic view. To specify the button pressed virtually by fingertip pointing, a simple deep learning network having two stages without convolution filters was designed. As confirmed in the experiment, if the input data composition is clearly designed, the deep learning network does not need to be configured so complexly. As the results of testing and evaluation by the certification institute, the proposed button device shows high reliability and stability.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2022년도 추계학술대회
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• pp.394-396
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• 2022

코로나19 이후 특정 시간대에 무인 매장으로 운영되는 하이브리드 매장이 확산되고 이들 매장에 대한 절도 범죄도 증가하고 있다. 본 논문에서는 무인상점의 심야시간대에 발생하는 범죄를 실시간으로 식별하고 대응할 수 있도록 기존의 무인상점 장치를 충분히 활용한 지능형 방범시스템을 제안한다.

• 융합보안논문지
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• 제24권2호
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• pp.63-70
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• 2024

인공지능 기술의 발전으로 우리의 삶은 혁신적으로 변화하고 있지만, 동시에 윤리적 문제들도 새롭게 대두되고 있다. 특히 알고리즘 및 데이터 편향성에 의한 차별문제, 딥페이크 및 개인정보 유출 문제 등은 인공지능 서비스확대에 따라 사회적으로 해결해야 할 선결과제라 판단된다. 이를 위해 본 논문에서는 인공지능 윤리 측면에서 인공지능의 개념과 윤리적 이슈를 살펴보고 이를 예방하기 위한 각국의 윤리 가이드라인, 법률, 인공지능 영향평가제도, 인공지능 인증제도와 인공지능 알고리즘 투명성 관련 기술 현황 등을 살펴보고 인공지능 윤리 강화를 위한 제도적 개선방안을 제시하고자 한다.

• 한국항공운항학회지
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• 제32권1호
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• pp.39-48
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• 2024

Aviation industry is moving towards the third innovative era of AAM with electric power and AI after the JET-powered era following the Wright brothers' first flights. Research on UAM, eVTOL development, certification, and operations is competitively progressing, primarily in aviation-leading countries, aiming to resolve urban traffic saturation and foster the future aviation industries. This study introduces the concept of the pilot's role transition in operational safety as AI autonomous flight advances, comparing K-UAM operational concept with research from FAA, NASA, and EASA. It is to identify and propose solutions for challenges from the pilot's perspective in developing UAM and its safe operation system. To succeed in Advanced Air Mobility National Project, we suggest the collaboration among industry, academia, and institutions, along with the cooperation between civilians, governments, military, and the need for Urban Air Mobility integrated policies.

• 인터넷정보학회논문지
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• 제25권4호
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• pp.97-108
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• 2024

인공지능 로봇의 산업화가 활발해짐에 따라 윤리적, 기술적 문제가 심각해지고 있음에도 위험성에 관한 연구는 미흡하다. 이러한 실정에서 연구자는 인공지능 로봇의 신체, 권리, 재산, 사회적 위험성을 측정할 수 있는 검증된 지표 52개를 개발하였다. 인공지능 로봇의 위험성 유형별 측정지표 개발을 위해 IRB 심의 이후, 전문가 11명에게 심층 면접하였다. 또한 현장성 검증을 위해 인공지능 로봇이 도입될 수 있는 여러 분야 종사자 328명에게 설문 조사하였으며, 타당성 및 신뢰성 측정을 위해 탐색적 요인분석과 신뢰도 분석, 변수 계산을 위한 상관관계 분석과 다중 회귀분석 등 통계 검증하였다. 이 논문에서 제시하는 측정지표가 표준화된 인공지능 로봇의 개발·인증·교육·정책 등에 널리 활용되어, 사회적으로 공감받고 안전한 인공지능 로봇 산업화의 초석이 되기를 기대한다.