AI in the Philippines: Building the Ecosystem from the Ground Up
A reflection on what it has taken to build the artificial intelligence and data science ecosystem in the Philippines — from research and education to governance and national …
The unglamorous work that makes AI possible
AI fails when the data underneath it fails. Fragmented systems, no common identifiers, no clear ownership, and no accountability when things break are enough to undermine even the …
Leveraging Existing Legal Authority to Guide AI Development
AI Governance and Compliance—Who’s Accountable?
At the ABCOMP 2025 Annual Conference, I addressed compliance officers on AI governance in banking. Through interactive scenarios exploring credit scoring biases and alert system …
Operationalizing AI Governance
Had a fantastic time in Seoul to join a small-group, insightful discussion on Operationalizing AI Governance, with a special focus on standards setting. It was so nice and …
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Evolving Landscape of Data Science Leadership Education
Here, I share insights from my journey teaching Data Science and Ethics of AI at the Asian Institute of Management, where I explore the dynamic interplay between evolving industry …
Bridging the AI Gap and Fostering Equity within ASEAN
Here, I explore the critical role of comprehensive digital transformation in successful AI adoption within enterprises. Drawing on insights from a recent industry session, I …
Unpacking AI Governance Principles and Frameworks
In this post, I explore the distinction between principles and frameworks in AI governance. This understanding is key to creating effective strategies for responsible AI …