Department of Computer Science and Engineering & Department of Artificial Intelligence
Yonsei University
Fridays at 10:00 AM - 1:00 PM
D408
Prof. Minsuk Kahng
Assistant Professor, Department of Computer Science and Engineering
E-mail: [email protected]
Website: https://minsuk.com
As artificial intelligence (AI) continues to transform society, recognizing the importance of Responsible AI has become essential. Responsible AI refers to the development and deployment of AI systems with an awareness of their broader societal impact, considering principles such as fairness, accountability, transparency, interpretability, and safety. This course explores cutting-edge research on Responsible AI from academia and industry, emphasizing a human-centered perspective. In particular, we will examine the role of data in the AI development lifecycle, as well as the role of people who design and interact with these AI systems. Through this course, students will develop knowledge, tools, and skills necessary to design AI systems that are not only accurate but also equitable, transparent, and trustworthy.
| Week | Topic | Assignments |
|---|---|---|
| 1 | Course Introduction | |
| 2 | Role of Data in AI Development | |
| 3 | Fairness | |
| 4 | Intersectionality in Fairness | |
| 5 | Evaluation in Generative AI | |
| 6 | Safety Evaluation | |
| 7 | Labeling | |
| 8 | Behavioral Testing | |
| 9 | TBD | |
| 10 | Explainability | |
| 11 | Project Posters | |
| 12 | Visual Analytics for Interpretability | |
| 13 | Synthetic Data | |
| 14 | Participatory AI | |
| 15 | Project Presentations | |
| 16 | Project Presentations (No Exams) |