Creathing with AI Ethics

Authors: HEvan Meng, Hankyu Koo, Hyungchan Yoo, Jongwon Kang, Jungwhan Cho,

Ethics by Design in AI: Learn to embed ethical values—fairness, transparency, and accountability—through every stage of AI development.

Critical Thinking and Problem-Solving: Develop the ability to evaluate AI systems, identify biases, and propose practical, evidence-based improvements.

Real-World Case Analysis: Examine practical examples in recruitment, traffic management, and healthcare to uncover ethical issues and recommend solutions.

Accountability and Regulation: Understand how to assign responsibility for AI-caused damage and explore the complementary roles of internal ethics frameworks and external regulations.

Social Responsibility in AI: Discover how ethical design and regulatory measures work together to create a safe and responsible AI ecosystem.

The content of the learning material contains contents (ChatGPT.com and Claude.com), images generated with AI (Midjourney.com), and videos generated using synthesia.io and heygen.com

The learning material is based on AI Competency Framework for Students

https://www.unesco.org/en/articles/ai-competency-framework-students

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