The research
Gendered Speech, Gendered Machines
Gender aspects of human–AI communication
Women adopt generative AI less than men, and the gap is often explained by access, networks and confidence. I’m looking at something else: how the way we’ve learned to speak (hedging, politeness, directness, who asks and who tells) shapes what happens when we talk to a machine. Not “how women prompt”, but how the conversation itself works for them.
Independent researcher since 2025 · aiming to start a PhD in 2027.
Follow the research
Occasional updates on the project, the PhD, and my search for a supervisor — a few emails a year, no more.
The questions
Are there measurable differences in how women and men structure their communicative acts with AI — hedging, directness, how requests are framed, and how they position themselves in the conversation?
How far are those differences predicted by gender-structured social norms, as opposed to technical literacy or other demographics?
What do the answers mean for AI design, inclusivity and adoption — so tools do not quietly reward one way of talking?
Downloads
Research proposal
Academic CV
The Unhyped Shelf
AI papers worth your time, minus the hype. One link to the open paper, a few paragraphs of what I think, and what I’m still unsure about.
Notes from the research
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Training & certifications
Anthropic
Human Rights Impact of AI Assessment (HRIA) Bootcamp · UNDP
MSU Linguistics and Teaching