Women talkin' 'bout AI
Two women examining AI through a lens of power, not just capability. Why deepfakes target women. How bias gets baked in. What tech companies aren't saying. Kimberly brings corpus linguistics; Jessica brings strategy. Both bring skepticism, feminism, research expertise, and a refusal to take the hype at face value.
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Women talkin' 'bout AI
The AI Adoption Trap: Why Women's Hesitation Is Rational — and Who's Really Responsible for Fixing It
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We keep being told the problem is women's hesitation around AI, that we need to adopt faster, skill up, and get in the game. But what if the hesitation is the rational response? And what if the systems telling us to move faster are the same ones punishing us when we do?
This week, Kimberly and Jessica talk with Nikki Meller, founder and CEO of CreduEd and DocuCred AI, a member of the Tech Council of Australia, and the founder of Women in AI Australia. Nikki brings a rare combination of on-the-ground organizing and firsthand experience as a female tech founder who has navigated investment rounds, built a development team, and made it to pitch week in San Francisco — all from a nursing background.
The conversation centers on a problem that's structural, not individual: organizations hand employees an AI platform with no governance, no training plan, and no reassurance about job security, then interpret the resulting hesitation — which falls disproportionately on women — as a capability gap. Nikki makes the case that this hesitation is actually a form of due diligence, and that the "competence penalty" documented in recent research (AI-assisted work rated as less competent, with the penalty larger for women) reframes the whole "women are behind on AI" narrative as a trap rather than a failing.
Topics covered:
- What the Harvard Business Review's coverage of the "competence penalty" research actually shows — and why it reframes women's AI hesitation as rational risk assessment
- How organizational culture creates the AI gender gap before policy ever enters the picture
- Australia's National AI Strategy: what it gets right, where it mentions women (spoiler: mostly in the context of abuse and safety risk, not leadership or capability), and what that omission signals
- The data aggregation problem: why lumping women, First Nations people, people with disability, and remote communities into a single "disadvantaged group" makes the research almost useless
- Why "the leaky pipeline" is the wrong frame — and what better language would look like
- What governments and organizations would actually have to do for "innovation is inclusive" to become more than a tagline
Guest:
Nikki Meller is the founder and CEO of CreduEd and DocuCred, a member of the Tech Council of Australia, and the founder of Women in AI Australia. You can find her and the organization at womeninai.org.au and on LinkedIn.
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