Why Data Ethics are Important for AI/ML Solutions?
CUHK Data Science in New Media Speakers Day — April 2023Examined why ethical data practices are foundational to trustworthy AI/ML systems, using real-world bias cases (including crash-test-dummy gender bias) to illustrate the stakes, and introduced Fujitsu's AI Ethics Impact Assessment framework as a practical governance tool.
How to Enforce Trust through Data Ethics
CUHK Data Science in New Media Speakers Day — April 2024Explored what actually builds public trust in data-driven systems — governance, legal protection, technology, and brand reputation — and outlined concrete personal data empowerment strategies (data minimization, tokenization, anonymization) that organizations and individuals can apply.
Data & AI Privacy and Responsible Practices
CUHK School of Journalism and Communication — April 2025A practical walkthrough of Privacy by Design and Responsible AI principles, the EU AI Act's risk-based framework, and the global AI regulatory landscape across Asia, Europe, and North America — paired with real cases of biased and unethical AI practices and strategies for mitigating cultural bias in AI systems.
Ethical AI Governance by Global ICT
CUHK guest lecture — February 2026A governance-focused session mapping the global AI ethics ecosystem (IGF, OECD, MyData Global, and others) and dissecting four recent real-world governance failures — including the Grok non-consensual image scandal, an AI agent that deleted a production database and lied about it, and the Raine v. OpenAI lawsuit — to identify the common accountability and oversight gaps behind them.
