日本語

Course Code etc
Academic Year 2025
College GLAP
Course Code OW431
Theme・Subtitle Artificial Intelligence and Artificial Sociality: A Sociological Approach
Class Format Face to face (all classes are face-to-face)
Class Format (Supplementary Items)
Campus Lecture
Campus Ikebukuro
Semester Fall Semester1
DayPeriod・Room Mon.3 , Thu.3
ログインして教室を表示する(Log in to view the classrooms.)
Credits 2
Course Number GLA3301
Language English
Class Registration Method Course Code Registration
Assigned Year 配当年次は開講学部のR Guideに掲載している科目表で確認してください。
Prerequisite Regulations
Acceptance of Other Colleges 履修登録システムの『他学部・他研究科履修不許可科目一覧』で確認してください。
Course Cancellation 〇(履修中止可/ Eligible for cancellation)
Online Classes Subject to 60-Credit Upper Limit
Relationship with Degree Policy 各授業科目は、学部・研究科の定める学位授与方針(DP)や教育課程編成の方針(CP)に基づき、カリキュラム上に配置されています。詳細はカリキュラム・マップで確認することができます。
Notes

【Course Objectives】

The primary goal of this course is to introduce students to the richness of sociological insights and help them understand the expansion of AI in society's everyday life and the development of Artificial Sociality. The second goal is to facilitate students' preparation for a professional career or further study in universities through the development of research skills and peer discussion skills.
It is both a theoretical and data-driven course as well as interdisciplinary and problem-oriented for international students.

【Course Contents】

This innovative Course is designed for social sciences students seeking an in-depth exploration of the interplay between artificial intelligence (AI) and society. It provides a sociological examination of artificial intelligence and its impact on Japanese and Asian societies.

Japanese Items

【授業計画 / Course Schedule】

1 Introduction. Objectives and Goals. Methods of Instruction. Reading Assignments. Online materials. Handouts for the class. How could students help each other to be excellent in this class? What is a position paper for the class? What is the Final Presentation?
2 What is Artificial intelligence? History of the term. Basic approaches to the definition
3 What is Artificial Sociality? The current stage of AI development: ‘artificial sociality’ and human-algorithm interdependence
4 ‘Dark side’ of AI development: social, ethical and legal problems
5 Sociological Theories of Technology and Cultural Adaptation in Japan and Asia
6 Human-centered AI: History of the idea
7 Dilemmas of Human-Centered AI. Social audit of HCAI
8 Interdisciplinary research on HCAI: perspectives and obstacles
9 Studying AI and AS with AI Instruments
10 AI and the Transformation of Work in Japan and East Asia
11 AI’s role in public policy and governance: Japan, China, South Korea, and beyond
12 Case studies: Successful integration of AI in academic research. Future of AI Instruments in Studying and Doing Sociology
13 Students present their position papers followed by collegial discussions.
14 So what? Wrap up. Conclusions. Outcomes.

【活用される授業方法 / Teaching Methods Used】

板書 /Writing on the Board
スライド(パワーポイント等)の使用 /Slides (PowerPoint, etc.)
上記以外の視聴覚教材の使用 /Audiovisual Materials Other than Those Listed Above
個人発表 /Individual Presentations
グループ発表 /Group Presentations
ディスカッション・ディベート /Discussion/Debate
実技・実習・実験 /Practicum/Experiments/Practical Training
学内の教室外施設の利用 /Use of On-Campus Facilities Outside the Classroom
校外実習・フィールドワーク /Field Work
上記いずれも用いない予定 /None of the above

【授業時間外(予習・復習等)の学修 / Study Required Outside of Class】

“Introducing the Stanford Institute for Human-Centered Artificial Intelligence” https://www.youtube.com/watch?v=DEHs6H0V8yo&t=3s •Luciano Floridi “How intelligent is artificial intelligence?” https://www.youtube.com/watch?v=hcoa7OMAmRk

【成績評価方法・基準 / Evaluation】

種類 (Kind)割合 (%)基準 (Criteria)
平常点 (In-class Points)100 Final Presentation(40%)
Discussion paper 1(20%)
Discussion paper 2(20%)
Discussion and presentation in the class(20%)
備考 (Notes)
We will stress and emphasize participation in class discussions, position papers/homework assignments, and the Final Presentation.

【テキスト / Textbooks】

No著者名 (Author/Editor)書籍名 (Title)出版社 (Publisher)出版年 (Date)ISBN/ISSN
1 Russell S., Norvig P. Artificial Intelligence: A Modern Approach. 3rd ed.(Chapter 1) Pearson Education Limited 2016
その他 (Others)
There are no mandatory textbooks, only two recommended Books and one article. We will organize the readings during the semester to address the students' needs and provide them with access to the online materials. There will be handouts for the class.

【参考文献 / Readings】

No著者名 (Author/Editor)書籍名 (Title)出版社 (Publisher)出版年 (Date)ISBN/ISSN
1 Andrey V. Rezaev Artificial Intelligence on the Way to Artificial Sociality: New Research Agenda for Social Analytics (Chapters I and 2) CrossRoads: VTSIOM, Vol.1., 2nd editio 202

【履修にあたって求められる能力 / Abilities Required to Take the Course】

【学生が準備すべき機器等 / Equipment, etc., that Students Should Prepare】

【その他 / Others】

【注意事項 / Notice】