• Title/Summary/Keyword: 생성형 AI의 법적문제

Search Result 2, Processing Time 0.018 seconds

Legal Issues and Regulatory Discussions in Generative AI (생성형 AI의 법적 문제와 규제 논의 동향)

  • Kim, Beop-Yeon
    • Informatization Policy
    • /
    • v.31 no.3
    • /
    • pp.3-33
    • /
    • 2024
  • This paper summarizes the legal problems and issues raised in relation to generative AI. In addition, we looked at what regulatory discussions individual countries or international organizations have in order to solve or respond to these issues or to minimize the risks posed by generative AI. Infringement of individual basic rights raised by generative AI, the emergence and control of new crimes, monopolization of specific markets and environmental issues are mainly discussed, and although there are some differences in the necessity and direction of regulation, most countries seem to have similar views. Regarding AI, the issues that are currently being raised have been discussed continuously from the beginning of its appearance. Although certain issues have been discussed relatively much, there are some differences between countries, and situations that require consideration of phenomena different from the past are emerging. It seems that regulations and policies are being refined according to the situation of individual countries. In a situation where various issues are rapidly emerging and changing, measures to minimize the risk of AI and to enjoy the utility and benefits of AI through the use of safe AI should be sought. It will be necessary to continuously identify and analyze international trends and reorganize AI-related regulations and detailed policies suitable for Korea.

Secure Coding for SQL Injection Prevention Using Generative AI

  • Young-Bok Cho
    • Journal of the Korea Society of Computer and Information
    • /
    • v.29 no.9
    • /
    • pp.61-68
    • /
    • 2024
  • In this paper, Generative AI is a technology that creates various forms of content such as text, images, and music, and is being utilized across different fields. In the security sector, generative AI is poised to open up new possibilities in various areas including security vulnerability analysis, malware detection and analysis, and the creation and improvement of security policies. This paper presents a guide for identifying vulnerabilities and secure coding using ChatGPT for security vulnerability analysis and prediction, considering the application of generative AI in the security domain. While generative AI offers innovative possibilities in the security field, it is essential to continuously pursue research and development to ensure safe and effective utilization of generative AI through in-depth consideration of ethical and legal issues accompanying technological advancements.