Women in AI: Front and Center at Transform on July 19

We’re excited to bring Transform 2022 back in person on July 19 and pretty much July 20-28. Join AI and data leaders for insightful conversations and exciting networking opportunities. Register today


When I joined VentureBeat three months ago, it was no surprise to find that a persistent gender gap persists among AI professionals and researchers. Frustrating of course, especially when the demand for AI talent is so great. But surprising? No.

The stats say it all: A Report World Economic Forum 2020 found that women make up only 26% of data and AI positions in the labor market. According to the Stanford Institute for Human-Centered AIs AI Index Report 2021Women make up only 16% of tenure track faculties worldwide focusing on AI.

Connecting with women in AI

That’s why I’m extremely excited to attend VentureBeat’s in-person Executive Summit on transform on July 19 at San Francisco’s Palace Hotel, which kicks off six consecutive days of virtual content and is the leading event on applied AI for business and technology decision-makers.

However, I have to admit that when I was first approached to participate in the Women in AI events in Transform, my jaws clenched reflexively at the idea that there should be a separate Women in AI agenda at all. And as the only female reporter at VentureBeat on AI, I was the obvious editor to play a part.

But before long, I recognized and was grateful for the important opportunity before me to connect with the dozens, perhaps hundreds of inspiring women leaders who attended Transform. Not only will it be incredible to finally meet members from across the AI ​​community in person, but it will be especially powerful for me to attend the annual Women in AI breakfast panel first thing in the morning.

For this dedicated talk to celebrate the achievements of women within the AI ​​field, I’ll be talking to three AI leaders: JoAnn Stonier, chief data officer at Mastercard; Ya Xu, VP engineering, head of data at LinkedIn; and Molly Parr, VP, product, digital customer experiences, business products and platforms.

In this panel discussion, we will focus on how the proliferation of women in data and AI-focused fields has helped shed light on unconscious biases and led to a better understanding of how to avoid them, creating opportunities to increase diversity in improve all aspects, not just gender.

Women in AI Awards

I follow the best AI thinkers on social media, read their insights in various publications and interview them my own stories in VentureBeat† I definitely see women in AI leading the way in areas like ethics, bias, and human-centric AI. They support AI efforts at top brands and suppliers and conduct groundbreaking research in leading global labs.

So I’m just as excited to attend the peer nominee Women in AI Awards at the end of the day, with nominees in five categories: Responsibility and Ethics of AI; AI entrepreneur; AI research; AI mentorship; and Rising Star. Winners are selected based on their dedication to the industry, their work to increase inclusiveness in the field, and their positive influence in the community.

Keeping the conversation going

The gender gap in AI shows no signs of disappearing anytime soon. According to the Women in AI report from Deloitte AI Institute, women accounted for 22% of all AI and computer science PhD programs in North America in 2019. This was only 4% higher than in 2010.

So there’s plenty of work to do and I take my status as a female technology journalist seriously, especially in such a constantly evolving field like AI. My favorite part of performing is the opportunity to constantly learn from bright, talented, creative industry leaders — many of whom happen to be women.

I look forward to continuing the conversation with female AI leaders throughout the year on issues of paramount importance across the industry. You can still join the conversation: Register here for Transform – and I’ll see you there.

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