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.
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
Global AI convergence in action: Insights from the BIFNC workshop...
At the 2025 AI for Good Global Summit, the workshop Global AI convergence: Innovative practices for a shared sustainable future,...
Global Summit
AI for good starts with quality data
AI is transforming how we work, govern, and live, but only as far as its data allows: the quality of...
Europe Hubs Projects | Young AI Leaders Community








