Program Overview
Master of Artificial Intelligence
Master's Program in AI Legal & Tech
Master's Program in AI Legal & Tech
Program Overview
Course Introduction
In recent times, various generative AIs, including ChatGPT, have experienced explosive growth. As more individuals and businesses delve into AI-driven businesses, numerous legal and regulatory issues, lawsuits, ethical and moral dilemmas, and the need for regulations in development and usage that were previously unforeseen are emerging like a flood.
However, legal professionals, lawyers, government officials, and corporate legal personnel who need to address legal, regulatory, and litigation issues related to AI often possess only surface-level knowledge. On the other hand, experts who specialize in AI engineering lack sufficient understanding of legal and regulatory matters, limiting their ability to provide practical assistance on AI-related legal issues. In response to this, the AI Legal Engineering master's program aims to enhance the understanding of essential engineering and technical aspects of AI for legal professionals while equipping AI engineers with in-depth legal knowledge to effectively address upcoming regulatory challenges, thus handling AI issues for sustainable business—a unique initiative as the first AI Legal Engineering master's program in the country.
Features of the Program
1) Fundamental Engineering Competencies for AI and Big Data
Understanding basic statistics through Python programming language and R, engineering comprehension of various AI deep learning algorithms, and gaining knowledge on diverse applications and techniques necessary for data collection, storage, visualization, etc.
2) Machine Learning and Deep Learning Algorithms
Learning the principles and algorithms of various deep learning algorithms in fields such as AI computer vision, personalized recommendations, text mining, LLM-based generative AI, reinforcement learning, GAN image generation, based on Python code. Students will learn how to build and optimize learning models using these algorithms.
3) AI-related Legal Courses
Analyzing legal issues related to AI and copyright, analyzing issues related to AI and personal information infringement, analyzing issues related to AI and corporate security and leakage, understanding fair use laws related to AI, understanding and responding to digital crimes, global regulatory trends and responses to digital economy and business, ethical considerations related to AI, and researching practical legal issues such as lawsuits and regulatory cases.
4) AI Legal Seminars and Networking
To enhance and leverage the experience and expertise of students, most of whom are seasoned professionals in various fields, monthly AI legal seminars are held, allowing active networking among current students and graduates. These seminars include participants from various fields such as the legal profession, public institutions, regulatory agencies, corporate legal and planning departments, AI-related business representatives, engineers, etc., fostering a vibrant networking environment and promoting the sharing of business and AI issues or projects.
교수진 소개
홍승필
주임교수
KAIST 박사
- 현) 서울과학종합대학원대학교 교수
- 전) ㈜한컴위드 대표
- 전) 성신여자대학교 교수
- 전) ㈜LG CNS 책임연구원
민경식 박사
경영보안전공, KISA
학력
- 일본 메이지대학교 대학원 경제학박사
- 일본 메이지대학교 대학원 경제학 석사
경력
- 한국인터넷진흥원 팀장/연구위원
- 일본 하이퍼네트워크사회연구소 공동연구원
- 한국인터넷정책학회 이사
- 서울시 블록체인 자문위원
- 경상남도 블록체인 자문위원
- 우정정보사업센터 블록체인 지문위원
연구분야
- ICT분야 경제성분석, 보안정책, 블록체인, 메타버스 보안 등
김관하
법무법인 이제, 변호사
학력
- 서울대학교 법과대학 졸업 (법학사, 1998)
- 사법연수원 수료 (30기, 2001)
- USC Law School (Visiting, 2010-2011)
경력
- 육군 법무관 (2001. 4.-2004. 3.)
- 김∙장 법률사무소 (2004. 4.-2015. 1.)
- 법무법인 이제 구성원-파트너 변호사 (2015. 2.-현재)
- 서울지방노동위원회 심판담당 공익위원 (2016. 4.-현재)
분야
- 인사노무 (중대재해처벌, 직장내 괴롭힘법등)
- 대한민국 사법시험 합격 (제40회, 1998)
- 2016년/2017년 highly recommended lawyer으로 선정(Legal Times, 인사노무)
- 2019년/2020년/2021년 「Leading lawyer」로 선정(Legal Times, 인사노무)
* 향후 KISA 전문가, 대학교수 추가 예정
