Artificial intelligence is often seen as a hyper-rational problem-solver - crunching data, eliminating errors, and making decisions free from human flaws. But let’s be real - AI is only as good as the people who build it. It learns from the data we feed it, absorbs the biases baked into our systems, and reflects the world as it is - not necessarily as it should be. Instead of being neutral, AI has the power to amplify inequalities or actively challenge them, depending on the hands that shape it.
This International Women’s Day, we’re exploring how AI can be a powerful force for women, the very real risks of bias creeping into the system, and how leaders like Catherine Warren are ensuring AI is a tool for progress, not exclusion.
The Role of AI in Empowering Women - If We Get It Right
AI is creating new opportunities for women beyond what we’ve imagined. It can automate tasks, flag bias in hiring, track pay gaps, and open doors to education and healthcare where access is limited. Used well, AI could help tackle inequalities that have long been overlooked.
But AI doesn’t operate in a vacuum. If it’s trained on biased systems, it will amplify those biases. If it learns from a world where leadership has been mostly male, it won’t just mirror that reality - it will cement it. For Indigenous women, these biases run even deeper. AI models trained on Western-centric data often overlook Indigenous languages, exclude culturally specific experiences, and reinforce systemic barriers to employment and healthcare.
Unless women - particularly those from historically marginalised communities - are actively involved in shaping how AI is built and used, we risk letting old inequalities take root in the very technology shaping our future.
So, how do we ensure AI works for women, not against them?
AI’s Role in an Inclusive Workforce
For AI to drive real progress, we need to design it with intentionality - not just hope it will "learn" fairness along the way. This means actively using AI to interrogate existing inequalities, not just replicate them. Here’s where AI is already making an impact:
Recruitment Without the Hidden Bias: Tools like blind resume screening and gender-neutral job description analysis are helping organisations identify bias in hiring before it happens.
Data-Driven Pay Equity: Advanced HR analytics can track pay gaps and promotion trends, ensuring salary disparities don’t go unnoticed.
Scaling Mentorship & Career Growth: Intelligent career coaching platforms are providing personalised mentorship at scale, helping more women advance in industries where leadership remains male-dominated.
AI-Driven Access to Funding & Investment for Women Entrepreneurs: Women-led startups receive less than 3% of venture capital funding globally. AI-powered investment platforms, like Portfolia and Sage, analyse business potential based on actual performance metrics rather than biased investor patterns. For Indigenous women, access to funding is even more limited, with additional barriers such as lack of generational wealth and systemic exclusion from traditional banking systems. AI-powered fintech solutions tailored to Indigenous entrepreneurs can help close this gap.
Flexibility & Work-Life Balance: Women still perform the majority of unpaid domestic labour. AI-driven household management assistants optimise schedules, meal planning, and budgeting, redistributing cognitive load. Scheduling and workflow automation allow for more flexible work arrangements, making it easier for women to balance leadership and caregiving roles without being penalised.
The potential is there. But who is ensuring AI is built and applied in ways that actively challenge systemic inequalities rather than cement them?
Catherine Warren: Investing in the Future of Inclusive AI
One of the women leading the charge is Catherine Warren, a visionary shaping the intersection of AI, creative industries, and high-impact investment.
As President of FanTrust, Catherine has played a pivotal role in directing billions of dollars into Canada’s fastest-growing tech sectors - from AI and quantum computing to animation and visual effects. Her ability to bridge technological innovation, creative industries, and strategic investment makes her a leader in ensuring AI’s potential is realised across multiple industries.
Catherine’s work is about more than just investment though - it’s about reshaping the landscape of who gets to lead in tech. By positioning AI and emerging technology at the centre of high-growth sectors, she is not only directing funding toward innovation but ensuring that the ecosystems surrounding AI are inclusive, and future-focused - where diverse voices are involved in shaping the algorithms and policies that will define the future.
Her work reminds us that AI is not just an engineering challenge - it’s an ethical, creative, and societal one.
We’re delighted to be hosting an event led by Catherine next week.
Beyond the Boardroom: How AI Can Support Women Globally
AI’s impact on women isn’t limited to career advancement. Some of the biggest breakthroughs are happening in spaces that directly impact women’s lives worldwide:
Healthcare & Safety: AI is helping close the gender gap in medical research. Traditionally, women have been underrepresented in clinical trials, leading to misdiagnosis and poor treatment outcomes. Tools like Google’s DeepMind are being trained on female-specific health data, improving detection of conditions like breast cancer and endometriosis. AI-driven diagnostics are improving maternal healthcare in developing countries, while AI-powered safety apps are helping women in high-risk environments.
Access to Education: Learning platforms are bridging education gaps for women and girls, offering mentorship and skill-building in regions where formal education is limited. For example, Century Tech uses AI to personalise learning paths for young students, helping girls in underserved areas build strong literacy and numeracy foundations. Similarly, Google’s Read Along app provides AI-driven reading support, offering interactive feedback to improve literacy skills in multiple languages, even with limited and unreliable internet access.
But again, who is designing these solutions? If the teams building AI tools for women don’t include women themselves, we risk creating technology that misses the mark - or worse, reinforces exclusion under the guise of progress.
The AI Future We Choose
AI is neither good nor bad - it’s a tool shaped by the people who build, fund, and apply it. Leaders like Catherine Warren are proving that when women take a central role in AI, they don’t just participate in the future - they reshape it.
So, this International Women’s Day, let’s not just celebrate progress - let’s demand more. More women leading in AI. More investment in diverse, inclusive tech ecosystems. More bold moves to ensure AI isn’t just another system that replicates inequality, but a tool that actively dismantles it.
Because when women lead in AI, everyone wins.
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