AI and Ethical Governance

Overview

As AI profoundly reshapes the socioeconomic landscape, AI governance and sustainability have emerged as pivotal issues for humanity's future. As the vanguard of the digital era, Generation Z must evolve beyond being mere users of AI technology to becoming leaders who steer its ethical development.

This course adopts a Gen Z-centric perspective to systematically build a knowledge framework for AI governance, equipping you to seize opportunities in the technological wave. Starting with AI governance theory and value orientation, the course guides you to re-examine the essence of technological applications, understand "development-oriented" AI ethics principles, break free from techno-centric mindsets, and establish the core belief that "technology must serve humanity." In the AI Ethics Challenges and Governance module, you’ll confront real-world issues like algorithmic bias, gender inequality in tech, and data privacy, dissecting case studies to master systematic ethical governance strategies. The Global Collaboration and Ecosystem Building module showcases cross-border AI initiatives, analyzing pathways to create responsible AI ecosystems and revealing how to align AI with sustainable development goals (SDGs). Whether you’re a Gen Z student, an AI professional, or a tech-ethics advocate, this course delivers actionable methodologies, cutting-edge industry insights, and hands-on strategies for global AI governance.

Upon completion, you’ll not only grasp the foundational logic of AI governance but also translate theory into action—emerging as a key force for ethical AI in your career and social innovation.

Syllabus

• AI Governance as Responsible and Sustainable Innovation for and by Gen Z-ers
• Application - The Ultimate Mission of Technology
• Challenges of Recommendation Algorithms: From Fairness to Autonomy
• Development-oriented Principle of Ethics in AI
• Ethical Opportunities and Challenges of AI
• How AI Engineers from 100 Countries are Collaboratively Building Ethical and Efficient AI
• Responsible AI: Deep Coordination on Sustainable Development and Governance
• Responsible AI for Sustainable Development
• Gender equality

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Taught by

人工智能国际治理研究院

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Subjects

Computer Science