• Title/Summary/Keyword: AI 규제

Search Result 49, Processing Time 0.02 seconds

The Regulation of AI: Striking the Balance Between Innovation and Fairness

  • Kwang-min Lee
    • Journal of the Korea Society of Computer and Information
    • /
    • v.28 no.12
    • /
    • pp.9-22
    • /
    • 2023
  • In this paper, we propose a balanced approach to AI regulation, focused on harnessing the potential benefits of artificial intelligence while upholding fairness and ethical responsibility. With the increasing integration of AI systems into daily life, it is essential to develop regulations that prevent harmful biases and the unfair disadvantage of certain demographics. Our approach involves analyzing regulatory frameworks and case studies in AI applications to ensure responsible development and application. We aim to contribute to ongoing discussions around AI regulation, helping to establish policies that balance innovation with fairness, thereby driving economic progress and societal advancement in the age of artificial intelligence.

A Study on How to Set up a Standard Framework for AI Ethics and Regulation (AI 윤리와 규제에 관한 표준 프레임워크 설정 방안 연구)

  • Nam, Mun-Hee
    • Journal of the Korea Convergence Society
    • /
    • v.13 no.4
    • /
    • pp.7-15
    • /
    • 2022
  • With the aim of an intelligent world in the age of individual customization through decentralization of information and technology, sharing/opening, and connection, we often see a tendency to cross expectations and concerns in the technological discourse and interest in artificial intelligence more than ever. Recently, it is easy to find claims by futurists that AI singularity will appear before and after 2045. Now, as part of preparations to create a paradigm of coexistence that coexists and prosper with AI in the coming age of artificial intelligence, a standard framework for setting up more correct AI ethics and regulations is required. This is because excluding the risk of omission of setting major guidelines and methods for evaluating reasonable and more reasonable guideline items and evaluation standards are increasingly becoming major research issues. In order to solve these research problems and at the same time to develop continuous experiences and learning effects on AI ethics and regulation setting, we collect guideline data on AI ethics and regulation of international organizations / countries / companies, and research and suggest ways to set up a standard framework (SF: Standard Framework) through a setting research model and text mining exploratory analysis. The results of this study can be contributed as basic prior research data for more advanced AI ethics and regulatory guidelines item setting and evaluation methods in the future.

A Study on the Improvement of Domestic Policies and Guidelines for Secure AI Services (안전한 AI 서비스를 위한 국내 정책 및 가이드라인 개선방안 연구)

  • Jiyoun Kim;Byougjin Seok;Yeog Kim;Changhoon Lee
    • Journal of the Korea Institute of Information Security & Cryptology
    • /
    • v.33 no.6
    • /
    • pp.975-987
    • /
    • 2023
  • With the advancement of Artificial Intelligence (AI) technologies, the provision of data-driven AI services that enable automation and intelligence is increasing across industries, raising concerns about the AI security risks that may arise from the use of AI. Accordingly, Foreign countries recognize the need and importance of AI regulation and are focusing on developing related policies and regulations. This movement is also happening in Korea, and AI regulations have not been specified, so it is necessary to compare and analyze existing policy proposals or guidelines to derive common factors and identify complementary points, and discuss the direction of domestic AI regulation. In this paper, we investigate AI security risks that may arise in the AI life cycle and derive six points to be considered in establishing domestic AI regulations through analysis of each risk. Based on this, we analyze AI policy proposals and recommendations in Korea and validate additional issues. In addition, based on a review of the main content of AI laws in the US and EU and the analysis of this paper, we propose measures to improve domestic guidelines and policies in the field of AI.

Blockchain-Based Juridical AI Registration System (블록체인 기반 AI 법인 등록제)

  • Jeon, MinGyu;Hwang, Chiyeon;Na, Hyeon-Suk
    • Journal of Digital Convergence
    • /
    • v.18 no.5
    • /
    • pp.17-23
    • /
    • 2020
  • With the advancement of AI technology, legal status and regulation issues for AI robots, and the necessity of a robot registration system are emerging. Since the shape and activity area of AI robots will no longer be limited to hardware in one country, the definition and regulation of AI robots should be expanded to a comprehensive concept including software, and information about them should be securely managed and shared by governments around the world. From this perspective, we extend 'AI robot' to the concept of Juridical AI encompassing hardware and software, and propose a method to operate the Juridical AI registration system using a permissioned blockchain called Juridical AI Chain. Since blockchain is an internationally distributed database, operating such AI registration system based on the blockchain will be a way to effectively cope with the global problems caused by the commercialization of AI robots.

The Role of Confidence in Government in Acceptance Intention towards Artificial Intelligence (인공지능 수용의도에서 정부신뢰의 역할)

  • Hwang, SeoI;Nam, YoungJa
    • Journal of Digital Convergence
    • /
    • v.18 no.8
    • /
    • pp.217-224
    • /
    • 2020
  • The purpose of this study is to discuss implications for government policy aimed at increasing public's intention to accept AI. Knowledge regarding AI and feelings regarding AI were found to influence acceptance to intention towards AI. Hierarchical regression analysis was then conducted to explore the moderation effect of confidence in government on knowledge and feelings regarding AI. Results showed that as advanced knowledge regarding AI has a positive influence on acceptance intention towards AI and negative feelings regarding AI has a negative influence on acceptance intention towards AI. Feelings regarding AI had the highest impact on acceptance intention towards AI, followed by confidence in government and knowledge regarding AI. Results also revealed that a high level of confidence in government regulations was associated with greater acceptance intention towards AI and a low level of confidence in government regulations acceptance intention towards AI was more influenced by feelings regarding AI than by knowledge regarding AI. Furthermore, religion had a significant influence on acceptance intention towards AI, which provides one insightful direction for future research.

선을 넘은 오리산업 규제 - 가축전염병 예방법-SOP-방역조치 현실적 개선이 필요하다

  • 한국오리협회
    • Monthly Duck's Village
    • /
    • s.205
    • /
    • pp.12-19
    • /
    • 2020
  • AI(조류인플루엔자) 특별방역기간이 연장된데 이어 오리농가 위험도 평가 기준안이 기습적으로 지자체에 시달되는 등 오리산업을 둘러싼 각종 방역규제가 강화되면서 오리농가들의 피해가 가중되고 있다. 일제 입식과 출하, 출하 후 휴지기간 14일 준수 의무 부여를 비롯해 2017년부터 시행중인 오리농가 사육제한에 따른 생산량 감소로 막대한 피해가 발생하고 있는 오리업계에 또 다른 제재가 가해지고 있는 것이다. 반면 2017년부터 3년째 시행중인 전국 오리농가 사육제한에 따른 보상금 누적 지출액은 약 200억원에 달해 막대한 국고 지출이 이뤄지고 있다. 이제 제대로 된 AI 방역대책과 현실적인 방역조치 개선이 절실한 때다. 오리산업을 향한 무차별적인 제재는 선을 넘었다.

  • PDF

오리산업 멈추는 휴지기제 - 오리농가 사육제한 '휴지기제'

  • 한국오리협회
    • Monthly Duck's Village
    • /
    • s.189
    • /
    • pp.14-20
    • /
    • 2019
  • 2000년대 후반부터 급속히 성장하여 2011년 농림업 전체 생산액 중 7위를 차지한 오리산업은 한때 1조 3,966억원을 생산하며 황금기를 이끌어냈다. 2012년 당시 도압수는 9,040만9,000수로 최고 호황가를 기록했다. 이렇게 끝없는 발전의 길을 걷던 오리산업의 발목을 잡은 것은 바로 AI(조류인플루엔자). 2010년부터 해마다 반복적으로 발생한 AI로 오리산업은 악화일로를 걷게 됐다. 그리고 더 큰 문제는 AI의 주범으로 낙인찍힌 오리산업에 대대적인 규제가 가해진 것이다. AI 방역정책의 골자로 정부가 내세운 새로운 무기는 '오리농가 사육제한', 휴지기제였다. 오리산업의 휴지(休止), 쉬는 것이 아닌 산업을 정지하는 휴지기제가 시작됐다. 쉬는 것이 아닌 멈춰있는 오리산업의 휴지기제를 집중 취재했다.

  • PDF

Artificial Intelligence and Blockchain Convergence Trend and Policy Improvement Plan (인공지능과 블록체인 융합 동향 및 정책 개선방안)

  • Yang, Hee-Tae
    • Informatization Policy
    • /
    • v.27 no.2
    • /
    • pp.3-19
    • /
    • 2020
  • Artificial intelligence(AI) and blockchain are developing as the core technology leading the Fourth Industrial Revolution. However, AI is still showing limitations in securing and verifying data and explaining the evidence for the results, and blockchain also has some drawbacks such as excessive energy consumption and lack of flexibility in data management. This study analyzed technological limitations of AI and blockchain and convergence trends to overcome them, and finally suggested ways to improve Korea's related policies. Specifically, in terms of R&D reinforcement, we proposed 1) mid- and long-term AI /blockchain convergence research at the national level and 2) blockchain-based AI data platform development. In terms of creating an innovative ecosystem, we also suggested 3) development of AI/blockchain convergence applications by industry, and 4) Start-up support for developing AI/blockchain convergence business models. Lastly, in terms of improving the legal system, we insisted that 5) widening the application of regulatory sandboxes and 6) improving regulations related to privacy protection is necessary.

AI 특별방역기간, 예방을 위한 점검사항 - AI 피해농가 목소리

  • 대한양계협회
    • KOREAN POULTRY JOURNAL
    • /
    • v.46 no.10
    • /
    • pp.116-117
    • /
    • 2014
  • AI는 올해 1월 16일 전북 고창에서 최초 신고 이후 전남 함평을 마지막으로 지난 9월 초 모든 지역의 방역대 및 이동 제한을 해제하였다. 농림축산식품부는 지난 3일 마지막 살처분 및 소독조치 완료 후 30일 지난 후 방역대 내의 닭 오리 등에 대한 검사 후 이상이 없어 이동 제한을 해제했다고 밝혔다(신고(35건 중 29건 양성), 예방적 살처분, 역학관련(183건 양성)등 총 212건, 548농가 13,961천 수 살처분). 또한, 지난 8월 14일에는 AI 방역체계 개선 대책을 내놓았지만 실효성에 대한 의문과 AI로 피해를 본 농가가 법과 규제 속에 2차 피해를 보지 않을까 걱정이 된다. 올해 AI로 피해를 본 농가 중 제도적 허점으로 인해 또 다시 농가 경영의 이중고를 겪었던 양계인들의 목소리를 들어 보았다.

A Study on AI & ICT-based Autonomous Air Purifier Using ROS2 (ROS2 를 활용한 AI & ICT 기반 자율주행 공기청정기 연구)

  • Oh, Hyoun-Jun;Ha, Eun-ji;Kim, Gi-Heung;Lee, yung-Yong
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2022.11a
    • /
    • pp.821-823
    • /
    • 2022
  • 공기질에 대한 인식이 제고됨에 따라 실내공기질 규제가 강화되고 있다. 따라서 기존 고정형 공기청정기를 대체할 효율적인 기술로 자율주행 공기청정기를 연구하였다. 또한 자율주행 공기청정기에 AI 를 적용하여 오염도를 예측하는 방법으로 기존 자율주행 공기청정기와 차별성을 둔다.