This course offers a comprehensive exploration of the key principles, frameworks, and emerging risks shaping the future of responsible artificial intelligence (AI) governance. It provides practical tools to navigate the legal, ethical, and technical dimensions of AI while promoting trust, protecting rights, and aligning with global best practices. By the end of the training, participants will be equipped to anticipate and mitigate AI-related risks, foster public trust, and develop inclusive, ethical governance strategies that reflect international norms.
Yuanjing model drives China’s digital industrial transformation
In a comprehensive presentation at the 2025 AI for Good Global Summit, Wang Kai, Vice Manager at China Unicom Data...
Global Summit
Transparency and trust in the age of AI-generated content
AI-generated content (AIGC) is reshaping how people create, consume, and trust digital media. What once seemed like niche experimentation has...
Global Summit
Co-creating Ethical AI with Indigenous Intelligence
During the 2025 AI for Good Global Summit, TELUS convened a workshop on crafting ethical AI with Indigenous intelligence. The...
Global Summit









