Technologist, Social Impact, Data Ethics, AI Founder @ethicsPH, @cirrolytix, @aedes_ai Board @PCIJdotOrg, PAIBA
Asia Pacific
Joined November 2008
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High AI usage, low AI maturity. Classic PH.
We Don’t Have an AI Problem. We Have a Policy Problem
Most AI policy is written from the top down. AI itself is not.
People are already using it, students, workers, small businesses, and communities. The challenge is no longer adoption. It is whether policy reflects real life.
That is why we chose a bottom-up approach, built on four pillars: Education, Engineering, Enforcement, and Ethics.
Read our report: kas.de/documents/275121/4190…
Education matters because people are using AI faster than they are being taught how it works. Teachers need training. Families need inclusion. Literacy must be practical and shared early.
Engineering reminds us that AI depends on power, data, and connectivity. Without strong foundations, communities stay dependent on systems they do not control. Engineering policy is about building capacity, not just tools.
Enforcement showed us that fear-based rules fail. When laws are slow or overly punitive, AI use simply goes underground. Smart enforcement guides, adapts, and builds trust.
Ethics ties it all together. Ethics is protection. Without it, AI can spread misinformation, deepen inequality, and harm the most vulnerable. Ethics must live inside institutions, not just words.
The message is clear: policy must meet practice.
If AI is being built from the ground up, governance must follow. It is time to finally marry policy with practicality.
Download the report: researchgate.net/publication…
Hopefully this means we can do cheaper events? Like there will be a ton of multi-purpose thingos everywhere right?
Right?
This is why it’s so hard to take the government seriously.
They took P75 billion away from much needed, highly visible and easy-to-monitor transportation related projects meant to decongest the metropolis and improve daily commute and instead gave it to more DPWH projects that will likely be difficult to monitor and less of a priority.👏👏👏
Everyone Can Sound Smart Now. Who Actually Knows Something?
Attending the Butch Dalisay dialogue on AI facebook.com/share/p/1E1YEAk… (which is how I will refer to it from now on), thankfully gave me something else to ponder outside the national budget brouhaha, which itself was AI-triggered too.
Two old tools helped me think about a new one: WordStar and the camera.
WordStar made writing and editing easier. It did not give every user a great idea. That is one way to see AI: a tool that lowers the effort needed to put thoughts into words.
This could open doors. People with deep knowledge but weak writing skills may find it easier to be heard. Polished English should not be the price of joining a public debate.
But AI goes beyond WordStar. It can supply the idea, the argument, and the full page. That creates a choice. We can use it to think more clearly. Or we can accept its answer before doing much thinking at all.
Writing often helps us discover what we believe. A hard sentence may be a sign that the idea itself needs work.
Skipping that struggle can mean skipping the lesson.
The camera offers a second view.
A new tool can become a new medium. AI may do more than copy essays, poems, and novels. People may build stories that change with the reader or works that grow through a long exchange with a model. Some will be bad. Some may be worth our time.
We cannot know by judging every new form against the old ones alone. Still, a new art does not erase old duties. Facts need checking. Workers need fair treatment. Consent matters. Someone must answer for what gets published.
And we should stop treating sales, skill, and human authorship as if they were the same thing.
A human can write a bad book. A bad book can sell. A good writer can lose work. None of these truths began with AI. What changes is the scale and speed.
When clean prose becomes easy to produce, we need to ask harder questions about what is behind it. What did you learn? What did you witness? What can you prove? Why should we trust you?
WordStar asks which parts of writing can get easier. The camera asks what new forms might emerge. AI puts both questions on the table.
I am less interested in counting how many words a machine can produce.
I want to know what we will choose to say.
(Photo credit: Jaemark Tordecilla)
Hard to fix an economy with leaky budgets... with mere monetary policy alone. Unfortunately BSP will probably get blamed for the stagflationary environment.
bilyonaryo.com/things-are-re…
Wow RIP Capt Picard/Prof X.
deadline.com/2026/10/patrick…
Dominic Ligot retweeted
A robust production/manufacturing sector
Actual research and development
All with good compensation
Make it worth it for the brain to stay.
How to reverse the brain drain?
Discuss.
Completely understand folks’ FRUSTRATION. And everyone has the right to ASPIRE for greener pastures. But this whole “Aalis nalang kame sa PINAS” and “Mag Abroad nalang Ako” political discourse sometimes GLAMOURIZES QUITTING on our country, the far from ideal conditions overseas, and simply leaves the battlefield to TRAPOS and fascists!!
I mean, so who will be left to FIX our country?? Who will help those who got no choice or resources to go abroad? After all, only a minority often is in a position to migrate to truly better conditions…
Peso falling
Budget being questioned
Property crisis
Stocks flat
Most of us are poor
Er... any good news?
Dominic Ligot retweeted
AI is forcing the Philippines to make choices it can no longer postpone.
Our upcoming report shows where experts agree, where trade-offs remain, and what they mean for jobs, industry, security, and sovereignty.
Where are we ready to act?
#ai #geoeconomics
24 experts. 3 rounds. 31 position statements. One question:
What position should the Philippines take in an AI-restructured world?
Our consensus-graded report on labor, industry, security & sovereignty is almost here.
Follow us for the full findings.
#AI #Geoeconomics
Dominic Ligot retweeted
24 experts. 3 rounds. 31 position statements. One question:
What position should the Philippines take in an AI-restructured world?
Our consensus-graded report on labor, industry, security & sovereignty is almost here.
Follow us for the full findings.
#AI #Geoeconomics
Rich ppl problem. Asset rich, illiquid.
𝐁𝐢𝐠 𝐥𝐨𝐭𝐬, 𝐟𝐞𝐰𝐞𝐫 𝐛𝐮𝐲𝐞𝐫𝐬.
Araneta Properties has nearly sold out its smaller, affordable lots. Now it's struggling to move larger, pricier properties.
Q2 sales plunged 80%. Expenses rose 37%. The company swung to a loss.
bilyonaryo.com/presidential-…
