Join this unmissable webinar
12:30pm 30th July (bring your lunch)
Hear from one of Australia's leading AI experts as she breaks down the AI gender gap, the standards work shaping how these systems treat real people, and exactly how to start using AI ethically, responsibly, and confidently - starting today.
So — are you going to join, and make sure you're not left behind?
Ask yourself…
Am I cautious to not cause any unnecessary harm with AI?
Am I serious about not being left behind my male colleagues with AI?
Am I curious about what's possible with ethical and responsible AI?
Bias isn't just sitting quietly in the data AI is trained on. It's built into the foundations — into the infrastructure the whole system sits on. You can't clean that out with a better dataset. You have to understand it structurally, from the ground up. That's exactly the lens Dr. Jenine Beekhuyzen OAM brings to this work.
There's no shortage of AI hot takes out there. You could ask literally anyone on the internet and get a confident opinion in about four seconds.
But Dr. Jenine Beekhuyzen OAM isn't just anyone.
Generative AI is Gendered AI
“The bias built into AI has driven my career working with women and girls in tech for 30 years. That work now extends directly into how AI gets built and governed: I’m part of the IEEE Standards Project developing user-centred principles for how AI is used in family and gender-based violence cases, meaning I’m not just talking about AI bias from the sidelines, I’m literally in the room helping write the standards that decide how these systems treat the most vulnerable people who come into contact with them.”
Now I’m sharing all of that - the research, the standards work, three decades of lived expertise through my exciting new program!
Why Engagement is Non-Negotiable
Research shows a persistent 16% to 22% gap in AI adoption between men and women. If women continue to stay on the sidelines, the consequences are staggering:
Huge Economic Losses: Because women make up nearly half of the global workforce, a persistent usage gap could result in hundreds of billions of dollars in lost productivity and growth . We risk missing out entirely on the inventions, ideas, and work women would have produced with this technology
A Widening Gender Pay and Career Gap: AI is already widening the productivity divide; for example, male academic researchers saw a 6.4% higher productivity increase than female researchers following the launch of ChatGPT . If women do not master these tools, they risk being overlooked during hiring or even displaced in favour of AI-proficient applicants .
The "Digital Monoculture" and Permanent Bias: Early adopters, currently predominantly men, capture the "first-mover" advantage, shaping how tools are designed and used . Without women's input, AI models are trained on data that fails to reflect diverse preferences, creating a self-reinforcing cycle where tools become less effective for tasks typically performed by women .
The "Matthew Effect" of Cumulative Disadvantage: Technology adoption is path-dependent; those who start early accumulate reputational and resource advantages that become harder for latecomers to overcome . Waiting to "catch up" later means forgoing the premiums rewarded to those who help define the frontier.
Loss of Critical Diversity Competence: When women opt out, society loses the care-driven caution and ethical scrutiny women naturally bring to technology . Without their voice, we lose the diversity competence required to ensure AI development is safe, social, and human-centred.
How it works
Suitable for
Professional women beginning with AI
Date
Thursday 30th July, 2026
Time
12:30pm - 1:30pm AEST (bring your lunch!)
Cost
$149 + GST
Here’s what no one tells you…
If you've ever hesitated before opening an AI tool, or felt like you needed to "get trained" before you were allowed to use it properly — you're not behind, and you're not alone. That hesitation is real, it's common, and it deserves a space designed around it, not a lecture that ignores it.
That's exactly what this is.
What to expect
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In this program, Dr. Jenine Beekhuyzen OAM gives you clarity about the drivers of the AI gender gap, strategies to engage with AI ethically and responsibly, and the confidence to get started today. Practically, that looks like:
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Including how gendered bias gets baked into AI at the infrastructure level, not just the data, and what that actually means for how you use these tools day to day
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For engaging with AI thoughtfully, informed by someone who's literally helping write international standards on AI and gender-based violence
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Beginner questions aren't just tolerated, they're the whole point
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Starting today, not "eventually"
Frequently Asked Questions
Still have questions? Take a look at the FAQ or reach out anytime. If you’re feeling ready, go ahead and apply.
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It's a live session unpacking the AI gender gap - why it exists, what's driving it, and what to actually do about it. Dr. Jenine Beekhuyzen OAM walks through the idea that generative AI is gendered AI, where the bias isn't just sitting in the training data but built into the infrastructure itself, and gives you practical, ethical, responsible ways to start using AI with confidence
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This is for professional women, at any career stage, in any industry. No technical background needed, no prior AI experience required. If you've ever felt like everyone else is somehow already three steps ahead of you with this stuff, this session is built for exactly that feeling
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Not even close. The whole point of this session is that "feeling behind" is one of the most well-documented, common experiences women have with AI, not a sign you've missed your window. You'll leave with a clearer head, not a longer list of things to feel behind on
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It means the gender bias people worry about with AI isn't only a data problem you can fix by feeding the model "better" examples. It's baked into the foundations the technology is built on. Jenine unpacks exactly what that means and why it matters for how you use these tools day to day.
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No, nothing needs to be installed beforehand. It's a listen-and-learn session with no tools required.
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No pressure, ever. You're welcome to ask questions in the chat or out loud if you want to, but there's no expectation to be on camera or speak up. This is a safe room, not a performance
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Not at all - this is for any professional woman who wants to use AI well, regardless of industry. In fact, most of the women this is built for aren't in tech at all.
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Someone who's spent 30 years working with women and girls in tech, and who now sits on the IEEE Standards Project developing user-centred principles for how AI is used in evaluating family and gender-based violence - meaning she's not just commentating on AI bias, she's actively helping shape the standards that govern how these systems are built and used responsibly. This is high-stakes work that directly informs the ethical frameworks she shares in this session.
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If you enjoy this webinar, you are invited to join a deeper 4-week program where you'll build hands-on AI skills, an ethical-use framework, and a personal action plan, in a small, supportive cohort. Details on that will be shared during the session, with an early-bird offer for webinar attendees.
