서울시립대학교 교수 / University of Seoul, Professor

Keynote SessionModerator

Human-Centered Digital Innovation Powered by Big Data & AI

니어 프로토콜 공동창업자 / Near Protocol, Co-Founder

Keynote SessionSpeakers

The Convergence of LLMs and Blockchains

Illia Polosukhin is Co-Founder of NEAR Protocol, a decentralized developer platform powered by a sharded smart contract blockchain. NEAR’s vision of a scalable, robust, and highly usable blockchain began in 2018 when they couldn’t find a protocol that met the needs of builders. NEAR Protocol launched in 2020 and is focused on scaling to global mainstream adoption with the Blockchain Operating System. Before NEAR, Illia worked in AI research at Google and co-authored the landmark paper, “Attention Is All You Need.” Illia has appeared in the Wall Street Journal, CNBC, Bloomberg, TIME, Wired, New York Magazine, Forbes, and TechCrunch.

네이버클라우드 대표이사 / NAVER Cloud Corp. CEO

Keynote SessionSpeakers

Corporations’ Strategies for Technical and Ethical Responses in the Era of Hyperscale AI

Generative AI technology is presenting new possibilities for improving productivity for businesses and individuals.
As this technology is no longer a choice but rather something essential, we would like to discuss the mindset and considerations of providers of generative AI services.
As AI technology advances, the importance of building, managing, and utilizing data has never been more important.
In this context, we want to touch upon issues surrounding data and the social and ethical responsibilities businesses should have.

펜실베니아대학교 교수 / University of Pennsylvania, Professor

Keynote SessionSpeakers

Navigating the Societal Landscape of Generative AI: Opportunities and Ethical Challenges

Weijie Su is an Associate Professor in the Wharton Statistics and Data Science Department and, by courtesy, in the Department of Computer and Information Science, at the University of Pennsylvania. He is a co-director of Penn Research in Machine Learning. Prior to joining Penn, he received his PhD from Stanford University under the supervision of Emmanuel Candes in 2016 and his bachelor’s degree from Peking University in 2011. His research interests span privacy-preserving data analysis, statistical learning, optimization, mechanism design, and high-dimensional statistics. He is a recipient of the Stanford Theodore Anderson Dissertation Award in 2016, an NSF CAREER Award in 2019, an Alfred Sloan Research Fellowship in 2020, the SIAM Early Career Prize in Data Science in 2022, the IMS Peter Gavin Hall Prize in 2022, and the ASA Noether Early Career Scholar Award in 2023.

서울시 디지털명예시장 / Seoul Metropolitan Government, Digital Honor Mayor

Keynote SessionPanel

SAS Korea 이사/ SAS Korea, Senior Consultant

Keynote SessionPanel

서울연구원 본부장 / The Seoul Institute, Director

Session1Morderator

서울시립대학교 교수 / University of Seoul, Professor

Session1Speakers

전자정부의 역사와 행정혁신

서울디지털재단 책임연구원 / Seoul Digital Foundation, Principal Manager

Session1Speakers

Changes in Administrative Education of Public Officials’ Data according to the Appearance of GenAI

Since the introduction of ChatGPT 3.5 on November 30, 2022, the world has been captivated by generative AI. Prominent research institutions globally have started analyzing the impact of generative AI on fields such as medicine, education, design, law, arts, and employment. Private enterprises are striving to achieve economic benefits through generative AI, and governments are contemplating institutional measures to foster the generative AI industry and minimize its societal side effects. In essence, the entire world is keenly aware of the positive and negative impacts of generative AI. Among various sectors, the education field is adapting most agilely to generative AI. Educational institutions worldwide are swiftly conducting research on how to apply generative AI and are making efforts to successfully integrate it into their systems. Many universities, both domestically and internationally, are providing guidelines for utilizing generative AI like ChatGPT, and educational programs targeting professionals and the general public are proliferating. At the secondary education level, Seoul, in South Korea, have been preparing for generative AI education since March 2023, releasing materials such as ‘Seoul-style Artificial Intelligence Ethics Education’ and ‘AI Fundamentals for Teachers.’ Incheon, Busan, Gyeongsangbuk-do, and other regional authorities are also gearing up for generative AI education, starting as early as March or as late as May. In summary, education is focusing on learner-driven utilization and is evolving its methods towards utilizing AI and fostering collaboration. The core topic of this study, like other educational fields, concerns the direction in which administrative education will move in the era of generative AI.
To address this, the study aims to: Firstly, examine the socioeconomic changes brought about by generative AI, analyze trends in the education sector, and explore the developments in generative AI-related education. Secondly, assess the current status of data administration education and investigate how the demand for data administration education is changing through macroscopic trend analysis and comparisons. Thirdly, examine the case of data administration education at Seoul Digital Foundation, which is considered a successful example in the current era of generative AI, and analyze representative work application cases of learners. Lastly, propose the direction of data administration education.
Generative AI’s educational application is still in its early stages. Therefore, real-world cases are crucial at this juncture since there is limited accumulation of examples and theories. In this regard, the significance of the case studies in this research is substantial. However, limitations exist due to the relatively small proportion of case studies and the weak theoretical background of the convergence between generative AI and education, which hinder providing a profound direction.

서울연구원 부연구위원

Session1Speakers

Development of a sustainable and customized large language model in public domain

서울시립대학교 교수 / University of Seoul, Professor

Session1Speakers

Development of a sustainable and customized large language model in public domain

서울시 빅데이터담당관 / Digital Policy Bureau, Director

Session1Panel

서울연구원 선임연구위원 / The Seoul Institute, Senior Research Fellow)

Session1Panel

서울시립대학교 교수 / University of Seoul, Professor

Session2Morderator

케임브리지대학교 교수 / University of Cambridge, Professor

Session2Speakers

Beyond big data – what else is needed for smarter cities?

Dr Li Wan, Associate Professor in urban planning and development at the Department of Land Economy, University of Cambridge. He is the Director for the MPhil in Planning, Growth and Regeneration (PGR) programme, and Fellow of Gonville and Caius College. Dr Wan is interested in interdisciplinary modelling of urban land use and transport systems. His recent research interests include strategic planning at the city/regional level, impact study of flexible working, micromobility and electric vehicles, and transport decarbonisation. Dr Li Wan is a co-investigator of the Centre for Smart Infrastructure and Construction and a Trustee of the IJURR Foundation. His new book: Digital Twins for Smart Cities (2023).

SDAIA

Session2Speakers