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Hi, I'm Laura — curious by nature, researcher by choice.

DBAI candidate at PolyU Hong Kong. I write about AI, research, responsible tech, and the messy, fascinating process of figuring things out.

DBAI @ PolyU HK Transformative AI Responsible AI Always learning
About Me.
Random thoughts on the journey
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I'm someone who ended up in a DBAI programme partly out of curiosity and partly because I couldn't stop asking questions that didn't have tidy answers. I work with AI every day — and the more I work with it, the more I realise how little we collectively understand about where it's taking us.

This corner of the internet is where I think out loud. No polished takes, no pretending I have it figured out. Just honest reflections from someone in the middle of it.

When I'm not reading research papers or arguing with AI systems, you'll find me somewhere between Hong Kong and Hanoi, perpetually caffeinated.


Journal
Will governance help AI adoption, or quietly stop it?
I want to understand whether AI governance gives people confidence to move, or gives them one more reason to do nothing.
June 2026 Read →
Journal
The most dangerous word in innovation is "interesting"
The dangerous projects are the ones everyone finds "interesting" — everyone nods, everyone smiles, and then absolutely nothing happens.
June 2026 Read →
Journal
Curiosity is a very expensive hobby
It starts with one article and ends at midnight with three new questions, less certainty, and no improvement to my sleep schedule.
June 2026 Read →
Journal
AI has made me significantly less impressive
AI has not removed the value of work. It has shifted the value from execution toward judgment, deciding what matters, and knowing what to do next.
June 2026 Read →
Research Journey.
Notes from my DBAI at PolyU Hong Kong
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Research
People trust AI differently when losses are on the table
A story-first look at why people resist AI assistance more when decisions feel like avoiding losses instead of chasing gains.
June 27, 2026 Read →
Research
The ABCs of who actually benefits from working with AI
A story-first look at why AI does not help everyone equally, and why the people who benefit most may not be the ones we expect.
June 27, 2026 Read →
Research
Trusting an AI teammate depends on who else trusts it
A story-first look at why trust in AI teammates is not formed alone. People watch how other humans treat the AI too.
June 27, 2026 Read →
Research
From AGI to ASI, the scary question is what happens after the finish line
A story-first look at why reaching AGI is not the end of the AI story. It may be the start of a much harder one.
June 27, 2026 Read →
Reflections.
On responsible AI — the questions that keep me up at night
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Responsible AI
People judge AI like they judge people
AI adoption is not only about capability. People also judge whether the system feels warm, fair, honest, and safe to rely on.
July 26, 2026 Read →
Responsible AI
AI leadership still needs someone human in the room
AI can help leaders prepare, analyse, and evaluate, but leadership is not only information processing with better formatting.
July 26, 2026 Read →
Responsible AI
AI is not always the right front desk
AI can make service faster, but the research shows people still care deeply about when a human is present, especially when the moment feels personal.
July 26, 2026 Read →
Responsible AI
Human-AI teams need instructions, not optimism
Human plus AI sounds powerful, but the research keeps reminding me that collaboration does not become useful just because both parties are present.
July 26, 2026 Read →
Responsible AI
AI trust travels through people
We keep trying to solve AI trust with better models, but trust often travels through people first.
June 27, 2026 Read →
Responsible AI
Human-AI collaboration needs design, not slogans
Putting AI into a workflow is easy. Designing the relationship between human judgment and machine output is the hard part.
June 27, 2026 Read →