• Journal of the Korea Society of Computer and Information
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• v.23 no.7
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• pp.105-111
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• 2018

Last March, the world Go competition between AlphaGo, AI Go program developed by Google Deep Mind and professional Go player Lee Sedol has shown us that the 4th industrial revolution using AI has come close. Especially, there ar many system combined with AI hae been developing including program for researching legal information, system for expecting jurisdiction, and processing big data, there is saying that even AI legal person is ready for its appearance. As legal field is mostly based on text-based document, such characteristic makes it easier to adopt artificial intelligence technology. When a legal person receives a case, the first thing to do is searching for legal information and judical precedent, which is the one of the strength of AI. It is very difficult for a human being to utilize a flow of legal knowledge and figures by analyzing them but for AI, this is nothing but a simple job. The ability of AI searching for regulation, precedent, and literature related to legal issue is way over our expectation. AI is evaluated to be able to review 1 billion pages of legal document per second and many people agree that lot of legal job will be replaced by AI. Along with development of AI service, legal service is becoming more advanced and if it devotes to ethical solving of legal issues, which is the final goal, not only the legal field but also it will help to gain nation's trust. If nations start to trust the legal service, it would never be completely replaced by AI. What is more, if it keeps offering advanced, ethical, and quick legal service, value of law devoting to the society will increase and finally, will make contribution to the nation. In this time where we have to compete with AI, we should try hard to increase value of traditional legal service provided by human. In the future, priority of good legal person will be his/her ability to use AI. The only field left to human will be understanding and recovering emotion of human caused by legal problem, which cannot be done by AI's controlling function. Then, what would be the attitude of legal people in this period? It would be to learn the new technology and applying in the field rather than going against it, this will be the way to survive in this new AI period.

• Informatization Policy
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• v.23 no.4
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• pp.24-37
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• 2016

An Intelligent information society means intelligent superconducting society that goes beyond information society where information is centered. Now that artificial intelligence is specifically discussed, it is time to start discussing the laws and systems for intelligent information society, where artificial intelligence plays a key role. At some point it may be too late to cope with singularity. Of course, it is not easy to predict how artificial intelligence will change our society. However, there are concerns on what kind of relationship should humans build with AI in the intelligent information society where algorithms rule the world or at least support decision making of humans. What is obvious is that humans dominating AI or ruling out AI will not be the answer. Discussions for legal framework to respond to the AI-based intelligent information society needs to be achieved to a level that replaces the current human-based legal framework with AI. This is because legal improvement caused by the paradigm shift to the intelligent information society may assume emergence of new players-AI, robots, and objects-and even their subjectivation.

• Korean Journal of Cognitive Science
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• v.32 no.4
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• pp.169-191
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• 2021

With the development of artificial intelligence(AI), the jobs of many human experts are threatened, and this also applies to the legal profession. This study attempted to investigate whether AI can actually replace humans in the legal profession, especially the role of judges making final judgments. For this purpose, from the perspective of uniqueness neglect, this study was conducted to confirm the effect of involvement and the severity on acceptance of the judgment made by the AI judge (Experiment 1) and the AI jury (Experiment 2). The involvement was manipulated as if the subject who was sentenced for committing a crime was his or her family (mother, father) or stranger, and the severity was manipulated by the extent of the damage, the perception of the crime, and the number of applied crimes. In Experiment 1, the interactive effect of involvement and severity was found. Specifically, when the involvement was low, the acceptance of AI judges was higher in high severity (vs. low severity). Conversely, when the involvement was high, the acceptance of AI judges was higher in low severity (vs. high severity). The same interactions as in Experiment 1 occurred in Experiment 2. Specifically, when the involvement was low, a larger number of AI jury members were allocated in high severity (vs. low severity). On the other hand, when the involvement was high, the number of AI juries increased in low severity (vs. high severity). This study has implications in that it is the first experimental study in Korea on artificial intelligence legal judgment and that it presents the prospects for the jobs of legal experts.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.3
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• pp.1022-1034
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• 2023

Various aspects of artificial intelligence (AI) have become of significant interest to academia and industry in recent times. To satisfy these academic and industrial interests, it is necessary to comprehensively investigate trends in AI-related changes of diverse areas. In this study, we identified and predicted emerging convergences with the help of AI-associated research abstracts collected from the SCOPUS database. The bidirectional encoder representations obtained via the transformers-based topic discovery technique were subsequently deployed to identify emerging topics related to AI. The topics discovered concern edge computing, biomedical algorithms, predictive defect maintenance, medical applications, fake news detection with block chain, explainable AI and COVID-19 applications. Their convergences were further analyzed based on the shortest path between topics to predict emerging convergences. Our findings indicated emerging AI convergences towards healthcare, manufacturing, legal applications, and marketing. These findings are expected to have policy implications for facilitating the convergences in diverse industries. Potentially, this study could contribute to the exploitation and adoption of AI-enabled convergences from a practical perspective.

• Journal of the Korea Society of Computer and Information
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• v.28 no.4
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• pp.165-174
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• 2023

Due to the Fourth Industrial Revolution, the influence applied to all areas of our society is continuing to develop at a rapid pace as the days go by. Recently, in the field of legal services, artificial intelligence technology has been introduced mainly in the United States, an advanced country, leading innovation in the legal market. As such, artificial intelligence is expected to rapidly grow as a means of replacing people, leaving the auxiliary role of people at a rapid pace, and the purpose of this study is to examine necessary measures for Korean professional legal professionals to survive in this legal market. After analyzing it based on prior research by domestic researchers and various data in Korea, the law was revised to prohibit non-lawyers from handling legal affairs, active state intervention in public information cases, and ways for the state and the private sector to check each other. Therefore, the above research is expected to throw a lot of discussion points in terms of legal services using artificial intelligence in the future.

• Annual Conference on Human and Language Technology
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• 2022.10a
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• pp.300-304
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• 2022

본 논문은 한국어 법률 텍스트 처리를 위해 세 가지 서로 다른 사전 학습 모델을 미세 조정하여 그 성능을 평가하였다. 성능을 평가하기 위해 타겟 판결 요지에 대한 판결 요지 후보를 추출하여 판결 요지 간의 유사도를 계산하였다. 또한 유사도를 바탕으로 추출된 판결 요지가 실제 법률 전문가와 일반 언어학자의 직관에 부합하는지 판단하기 위해 정성적 평가를 진행하였다. 그 결과 법률 전문가가 법률 전문 지식이 없는 일반 언어학자에 비해 판결 요지 간 유사도를 낮게 평가하였는데 법률 전문가가 법률 텍스트의 유사성을 판단하는 기준이 기계와 일반 언어학자와는 달라 전문가 자문에 기반한 한국어 법률 AI 모델 개발의 필요성을 확인하였다. 최종 연구 결과로 한국어 법률 AI 프레임워크를 제안하였다.

• Journal of Convergence for Information Technology
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• v.11 no.3
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• pp.20-33
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• 2021

This study is to suggest improvements of personal information protection in South Korea, according to requiring the safety of process and protection of personal information. Accordingly, based on data collection and analysis through literature research, this study derived the issues and suitable standards of personal information for major artificial intelligence services. In addition, this cases studies were reviewed, focusing on the legal compliance and porcessing compliance for personal information proection in major countries. And it suggested the improvement plan applied in South Korea. As the results, in legal compliance, it is required reorganization of related laws, responsibility and compliance to develop and provide AI, and operation of risk management for personal information protection laws in AI services. In terms of processing compliance, first, in pre-processing and refining, it is necessary to standardize data set reference models, control data set quality, and voluntarily label AI applications. Second, in development and utilization of algorithm, it is need to establish and apply a clear regulation of the algorithm. As such, South Korea should apply suitable improvement tasks for personal information protection of safe AI service.

• Journal of the Korea Convergence Society
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• v.8 no.9
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• pp.41-47
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• 2017

This study is a preceding research designed to deduct an institutional supplementary measure that minimizes any inevitable side effects from the improvement of artificial intelligence (AI) technology, which is the core element of the Fourth Industrial Revolution. In this specific case in which the Robo-Advisor, the representative type of AI-applied technology, was hacked by a third party and ended up manipulating prices, the study was intended to examine the responsibility relationship of the current legal framework. Although the current legal framework strictly prohibits acts such as hacking and manipulation, it was confirmed that if the Robo-Advisor management firm acts in compliance with protection measures regarding hacking, the firm is free from any legal liabilities and there is insufficient legal protection available for ordinary investors with grand-scale damage from price manipulation Based on this study, further studies are needed to derive more institutional supplementary measures on overcoming these problems.

• The Korean Society of Law and Medicine
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• v.24 no.4
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• pp.67-101
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• 2023

The utilization of generative AI in the medical field is also being rapidly researched. Access to vast data sets reduces the time and energy spent in selecting information. However, as the effort put into content creation decreases, there is a greater likelihood of associated issues arising. For example, with generative AI, users must discern the accuracy of results themselves, as these AIs learn from data within a set period and generate outcomes. While the answers may appear plausible, their sources are often unclear, making it challenging to determine their veracity. Additionally, the possibility of presenting results from a biased or distorted perspective cannot be discounted at present on ethical grounds. Despite these concerns, the field of generative AI is continually advancing, with an increasing number of users leveraging it in various sectors, including biomedical and life sciences. This raises important legal considerations regarding who bears responsibility and to what extent for any damages caused by these high-performance AI algorithms. A general overview of issues with generative AI includes those discussed above, but another perspective arises from its fundamental nature as a large-scale language model ('LLM') AI. There is a civil law concern regarding "the memorization of training data within artificial neural networks and its subsequent reproduction". Medical data, by nature, often reflects personal characteristics of patients, potentially leading to issues such as the regeneration of personal information. The extensive application of generative AI in scenarios beyond traditional AI brings forth the possibility of legal challenges that cannot be ignored. Upon examining the technical characteristics of generative AI and focusing on legal issues, especially concerning the protection of personal information, it's evident that current laws regarding personal information protection, particularly in the context of health and medical data utilization, are inadequate. These laws provide processes for anonymizing and de-identification, specific personal information but fall short when generative AI is applied as software in medical devices. To address the functionalities of generative AI in clinical software, a reevaluation and adjustment of existing laws for the protection of personal information are imperative.

• Journal of Information Technology Services
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• v.22 no.4
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• pp.53-80
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• 2023

Expectations for artificial intelligence technology are increasing, and its utility value is growing, leading to active use in the public sector. The use of artificial intelligence technology in the public sector has a positive impact on aspects such as improving public work efficiency and service quality, enhancing transparency and reliability, and contributing to the development of technology and industries. For these reasons, major countries including Korea are actively developing and using artificial intelligence in the public sector. However, artificial intelligence also presents issues such as bias, inequality, and infringement of individuals' right to self-determination, which are evident even in its utilization in the public sector. Especially the use of artificial intelligence technology in the public sector has significant societal implications, as well as direct implications on limiting and infringing upon the rights of citizens. Therefore, careful consideration is necessary in the introduction and utilization of such technology. This paper comprehensively examines the legal issues that require consideration regarding the introduction of artificial intelligence in the public sector. Methodological discussions that can minimize the risks that may arise from artificial intelligence and maximize the utility of technology were proposed in each process and step of introduction.