Accurate data has never been more critical for building resilient, future-ready organizations. As artificial intelligence — from ChatGPT to advanced medical diagnostics — becomes deeply embedded in every aspect of life and business, the potential for innovation is immense, but so are the risks. Since publishing Invisible Women in 2019, Caroline’s pioneering research on data bias has influenced government policy, driven corporate transformation, and inspired a new generation of inclusive product designers. Join her to uncover powerful insights from her work on the frontlines of AI and data ethics — and learn practical strategies to harness the transformative potential of accurate, unbiased data for your organization.
What Caroline Explores
What happens when organisations address or ignore the gender data gap? In this talk, Caroline examines how:
- Incomplete data leads to flawed decisions.
- If women are underrepresented or misrepresented in data, organizations risk designing policies, products, and services that fail to meet the needs of half the population.
- Caroline shows how urban planning based only on male commuting patterns can ignore women’s more complex trip chains (e.g., school drop-offs, caregiving stops) and policy decisions based on that faulty data can lead to increased health care expenditures.
- Better data leads to improved product and service design
- Products designed without considering women’s needs can be ineffective or even harmful. Caroline shows how car safety features historically tested on male crash dummies meant that if a woman wearing a seatbelt is involved in a car crash, she is 73% more likely to be seriously injured or die than a man wearing a seatbelt.
- AI-driven tools can either widen or close the gender data gap
- AI tools reflect the biases of the data sets that are trained on. To ensure these tools benefit all people, they need to address the gender data gap and make sure that they are not merely amplifying existing issues.
- Good examples include AI that helps diagnoses heart attacks in women, AI that helps radiologists spot breast cancer in real-world tests and AI used to design safer seat belts.
- Meanwhile, there are concerning signs as AI tools used by English councils downplay women’s health issues, perpetuate regressive gender stereotypes and more broadly, research finds there is “a serious gender diversity crisis in AI research.”
Why Book Caroline Now
We are living in a time of rapid digital transformation, AI expansion, global economic uncertainty, and a push for social equity — all of which make inclusive, accurate data more critical than ever.
Caroline’s keynote addresses the need for data-driven campaigners and shows how to make meaningful change in your own community.
Learn how to spot and correct biased data:
- As AI tools and machine learning systems are adopted more widely, they rely heavily on historical data — much of which underrepresents or misrepresents women.
- Organisations using biased data to train AI risk baking inequality into algorithms, whether in hiring, healthcare, finance, or customer service.
- Fixing the gender data gap ensures AI works fairly for everyone.
Design resilient and inclusive systems:
- Climate change, economic instability, and conflicts disproportionately affect women, but gender-disaggregated data is often missing in disaster response, policy planning, and resource allocation.
Build workplaces that foster talent and deliver sustainable results
- Despite progress, pay gaps, underrepresentation in leadership, and barriers in tech and STEM remain. Gender-specific data on recruitment, retention, promotion, and pay is necessary for effective action. And, in 2025, investors, regulators, and employees are demanding data-driven transparency around gender equality.
- In 2025, markets are saturated — but underserved groups (including women) represent untapped opportunities. Accurate gender data allows organizations to design products, services, and policies that will answer real needs and win customer loyalty.
Why Audiences Choose Caroline
Caroline’s presentations have fundamentally shifted how scholars, policymakers, and practitioners think about data, evidence, and knowledge creation. Her speaking engagements consistently receive praise for making complex research accessible while maintaining intellectual rigor.
Through her keynotes and presentations, Caroline helps audiences understand that inclusive approaches to data are not merely matters of fairness, but essential components of accurate understanding and effective action.
Her ongoing commitment to rigorous inquiry and engaging communication continues to illuminate new dimensions of how knowledge is constructed and how it might be made more complete.
What Audiences Are Saying
It was a fantastic event. The talk itself could have continued for another hour!eBay
An eye opening presentation and I know that our employees gained a lot from taking the time and listening in on it. J.P. Morgan
Caroline was fantastic and the feedback from our team has been glowing!…It was an eye opening conversation for so many on our team.
MIO Partners
We absolutely loved hosting Caroline. She was superb, engaging and left our audience with the facts and data they need to address gender bias in both their personal and professional lives.
Trouble Club
Speaking Engagements
Caroline accepts a limited number of keynote presentations each year, focusing on opportunities to address leading organizations and institutions who are working to make the world a better place.
Each presentation is thoughtfully prepared for the specific audience and context, ensuring relevance and depth appropriate to the questions being explored.
To enquire about booking Caroline please contact Michael at [email protected]