In the last year, I've been thinking closely about how AI is built, deployed, and used. I keep returning to a simple line: if technology is going to be a force for equality rather than injustice, women and girls need to help build it, govern it, and shape how it shows up in the world.

There is a lot of noise around the gender gap in AI adoption. Far less attention is given to why that gap exists. What research increasingly suggests is that women's lower adoption is not simply a question of skill or access. It reflects how women read the risks embedded in these tools, including their implications for mental health, climate, privacy, and labour. These are often framed as hesitations or anxieties. I see them as reasoned, grounded concerns. And they meaningfully shape whether, how, and to what extent women choose to engage with AI at all.

As someone trained in research but drawn to strategy, the questions I return to are less about what AI can do, and more about how it should be used. How do I use AI intentionally? Who does it serve well, and who does it leave out? What does it miss entirely? And where does human judgment remain non-negotiable?

In much of the research and policy world, we tend to describe the problem as a knowledge gap. I'm not convinced that's where the real constraint lies. We are, in many ways, saturated with data but still starved of it where it matters most, on questions of inclusion, equity, and lived experience. What we are facing is as much an action gap as it is a knowledge one.

For me, the question of AI is not only about fairness in an abstract sense. It is about whether what gets built actually works for everyone, or continues to work well for only a few.

Alongside this line of inquiry, I've spent the past months building my own technical and conceptual grounding through coursework with DeepLearning.AI, the University of Helsinki, National Skill Development Corporation, and Anthropic Academy. This has been less about credentialing and more about developing a working literacy, enough to interrogate systems, not just use them.

What I'm doing now sits at the intersection of social design and AI, applying these tools to make the invisible labour of women's lives more visible, measurable, and therefore harder to ignore. The pieces on this site are part of that ongoing exploration.