SheCanCode’s Post

🚀 𝗔𝗜 𝗶𝘀 𝗿𝗲𝘀𝗵𝗮𝗽𝗶𝗻𝗴 𝗼𝘂𝗿 𝘄𝗼𝗿𝗹𝗱—𝗯𝘂𝘁 𝘄𝗵𝗼’𝘀 𝘀𝗵𝗮𝗽𝗶𝗻𝗴 𝗔𝗜? From tools like ChatGPT and Gemini enhancing productivity to AI-powered apps simplifying daily tasks, Artificial Intelligence is at the forefront of modern life. Yet, behind the scenes of this booming industry lies a critical imbalance: 🔹 Only 𝟮𝟲% 𝗼𝗳 𝗔𝗜-𝗿𝗲𝗹𝗮𝘁𝗲𝗱 𝗽𝗼𝘀𝗶𝘁𝗶𝗼𝗻𝘀 globally are held by women. 🔹 Women make up just 𝟭𝟲% 𝗼𝗳 𝘁𝗲𝗻𝘂𝗿𝗲-𝘁𝗿𝗮𝗰𝗸 𝗔𝗜 𝗳𝗮𝗰𝘂𝗹𝘁𝘆, according to Stanford’s AI Index Report. This gap doesn’t just affect those working in AI—it affects 𝘢𝘭𝘭 𝘰𝘧 𝘶𝘴. Gender imbalance in AI development leads to technologies that may unintentionally reinforce biases instead of breaking them. But with a more inclusive approach, the potential for equitable, effective, and transformative, not to mention successful AI is boundless. 🌟 Athena STEM Women 𝗶𝗻𝘃𝗶𝘁𝗲𝘀 𝘆𝗼𝘂 𝘁𝗼 𝗷𝗼𝗶𝗻 𝘂𝘀 𝗳𝗼𝗿 𝗮 𝗱𝘆𝗻𝗮𝗺𝗶𝗰 𝗰𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻 𝗼𝗻 𝗴𝗲𝗻𝗱𝗲𝗿, 𝗯𝗶𝗮𝘀, 𝗮𝗻𝗱 𝗔𝗜. 🌟 Our expert panel will explore: ✅ The ways gender bias shapes AI systems—and their impact on our daily lives. ✅ The unique value women bring to AI innovation. ✅ How we can bridge the gap to build inclusive AI systems for a fairer future. I'm excited to understand what AI can achieve when it’s created by—and for—everyone. I hope you are too. So join me for this must-attend event! 🗓️ 𝗝𝗼𝗶𝗻 𝘂𝘀 𝗼𝗻𝗹𝗶𝗻𝗲 𝗗𝗲𝗰𝗲𝗺𝗯𝗲𝗿 𝟭𝟮𝘁𝗵 @ 𝟱𝗣𝗠 𝗣𝗮𝗰𝗶𝗳𝗶𝗰 📍 𝗟𝗶𝗻𝗸 𝗶𝗻 𝗰𝗼𝗺𝗺𝗲𝗻𝘁𝘀 💡 Be part of the conversation to shape the future of AI. Together, we can build systems that serve all. P.S. A bit about the photos - those are all AI-generated headshots of me (clearly you can tell they're off, but it's still impressive). #AI #Inclusion #GenderBias #WomenInSTEM #athenawomeninstem #allyship #workingtogetherforabetterfuture

🚨 We need to talk about the gender gap in AI — because it’s dangerous. For every woman in the AI field, there are 3-4 men. And if that doesn’t sound like a crisis to you, let me explain why it should. --- I recently revisited this topic while preparing a lecture for a major security organization. They specifically asked me to focus on women’s representation in the AI revolution — a topic that always manages to stir equal parts fascination and frustration in me. Let’s get straight to the facts: ➡️ Women make up only 22-26% of AI professionals worldwide. ➡️ In research roles? Just 18% of AI researchers are women. ➡️ In senior leadership positions? The numbers drop even further. Only 14% of senior AI roles are held by women. Think about that for a second. This isn’t just a gender imbalance in an established field. This is a huge gap at the very beginning of one of the most transformative revolutions in human history. When someone in my lecture asked, “But women are underrepresented in tech in general — why are you surprised by the gap in AI?”, I had one clear answer: Because the stakes are different this time. When we’re at the start of the biggest revolution we’ve ever seen — one that will shape every part of human life — we cannot afford to let men design the future without full participation from women. It’s dangerous for women. It’s dangerous for society. And it’s dangerous for the future of innovation itself. We’ll lose out on critical perspectives. We’ll embed biases that will take decades to undo. And we’ll accelerate inequality at a time when we should be closing it. Now, here’s where it gets even more concerning: According to the World Economic Forum, women are 12% less likely to use AI tools than men. That might sound like a small number, but it’s not. It means that men will gain professional AI dominance faster and move ahead in their careers while women lag behind in adopting the most transformative technology of our time. But there’s some good news: There are signs that women are starting to close the gap. Some sources even suggest that by the end of 2024, women’s usage of AI tools could be equal to men’s. And by 2030, women could hold 40% of AI-related jobs. That’s progress. But it’s not enough. We need deliberate action to make sure women aren’t left behind in this revolution. We need more women in senior leadership roles in AI. We need women designing, developing, and leading the future of this field. And we need to recognize that the tools we’re building aren’t biased. We are. To illustrate this point during my lecture, I used OpenAI’s new video generation tool, Sora, which had just been released. Here’s what happened when I prompted it with: “A surgeon treating a homeless person.” I don’t need to spell out the biases in the output I received, do I? We must do better. For women. For society. For the future of innovation. Because a revolution led by men alone isn’t a revolution at all.

Did you know that women represent only about 26% of the workforce in AI? This underrepresentation highlights a crucial issue in tech that demands our attention. The article sheds light on inspiring women who are leading the charge in this space, showcasing their innovative contributions and the impact they are making in shaping the future of artificial intelligence. Embracing diverse perspectives not only fosters creativity but also drives better solutions. As businesses look to optimize their competition, understanding the significance of diversity in AI development is imperative. What are your thoughts on the role of women in technology and AI? Let's discuss how we can support and encourage more women to enter this field. https://lnkd.in/erY_jJUy

Well said TIME ✅ Women make up less than 25% of all AI workers. ✅ Women make up less than 18% of AI reserachers. ✅ 51% of the world's population are women. Women are the consumers and end users of much of AI technology. Every AI company should have at least one woman on their board. Every company using AI should have someone with AI experience on their board. Let me be clear - this is not a DEI issue. This is common sense. Would you deploy a product and not have end users give feedback? Why would you produce AI that does not have insign from the actual consumers? As a woman in AI, I want to acknowledge the companies that have the understanding of why we are not a token but a smart decision. #susansly #womeninai #timemagazine #ceowomen https://lnkd.in/gV4HR3zE

At Kearney, we love a good panel discussion and the Women@Digital session on #AI last week is the perfect example of why! Kearney Partners Ramyani Basu and Rob Van Dale were joined by Alena Placha, MEA Chapter Lead for She Loves Data, as they shared their invaluable insights and expertise on the transformative role of AI in our lives as Dr. Scott Nowson moderated. Key areas of discussion included: - AI: the recent surge in AI investment and whether it's a lasting transformation or a speculative bubble. - Ethical AI: the importance of ethical principles in AI deployment and the critical issue of bias in AI systems. Diversity, especially through the inclusion of more women, enhances the ethical use of AI by bringing varied perspectives and experiences that can mitigate bias and promote fairness.  - AI & Gender Dynamics: AI is reshaping traditional roles at work, especially for #womenintech. With women significantly underrepresented in the global AI workforce and in leadership positions, the conversation about gender representation in this space is more important than ever. We look forward to continuing to drive the momentum for women in #technology and #digitaltransformation!

Research shows 75% of knowledge workers already use generative AI. However, women are more likely to be in jobs AI will disrupt and less likely to benefit from AI-driven roles. Leaders must act now to ensure an equitable future where women thrive in the AI era. Hear from Anne-Marie Slaughter (CEO at New America), Sue Duke (VP Global Public Policy & Economic Graph at LinkedIn), and Aneesh Raman (VP and Workforce Expert at LinkedIn) on steps to create a more equitable future for women in the AI-driven workplace: https://lnkd.in/eUGGQ75e

AI gender equity meaning is likely to be one of the meanings that will dissipate into buzziness. Key important happenings informed by my recent research, as well as the past and current policy and practice discourses; 👉🏾 STEM has been predominantly male dominated industry, which poses a challenge in developing tools and services that cater for needs that are specific for women and girls, and/or consider their unique needs when creating and deploying AI solutions.  👉🏾 Systemic-sponsored unequal power relations, whether in professional fields or in communities, create barriers for women and girls, who have to depend on the good will and occupy the limited space created for them by those who own and control resources. 👉🏾 AI can discriminate women and girls by creating a barrier to unequal access to services, employment, financial assets, or better clinical decisions. 👉🏾 A narrow focus on skilling and/or increasing number of women in AI spaces, musks the nuanced power dynamics within those spaces. From my research this was observable in the way power and control of resources and design spaces is shared in AI development and deployment spaces(particularly in agriculture). 👉🏾 The policy tools are not helping this discourse either, as gender equity keeps getting obscured in broad statements like inclusivity, responsible AI, and ethical AI. Isn't it time we start critically deconstructing these terms and meanings one by one? 👉🏾 I want to re-use the words of Amartya Sen, in his coined word "Missing women", despite focusing on gender mortality. In the next few decades more than a billion women may be missing literary and/or figuratively, due to their narrowed space to harness the power of AI economies, as well as the deep seated unaddressed systemic issues that create barriers different layers of women in the society. Co-creating AI with communities, especially women calls for important terms and meanings to be co-defined, in policy and practice, while keenly focusing on the power dynamics that may limit some groups from participating in these discussions. She doesn't have to watch from the margins, she can be part of the conversation. #ai #genderequity #agtech #cocreating #aiethics #responsibleai

37% of businesses say that employing women in AI leadership roles is a top priority, according to a recent survey by IBM. As AI technology becomes more prevalent in our daily lives and society, the need for greater representation and diversity, in both tech teams and leadership positions, increases in importance. Read more here: https://bit.ly/4d8kBdS #AI #AIleadership #womeninAI #ITrecruitment #techrecruitment #ITsector #IT

The lack of female representation in the #AI sector is cause for concern: according to the World Economic Forum only 22% of AI professionals globally were women in 2023. In a recent article for Business Reporter, Splunk's Petra Jenner highlights the urgent need for #diversity in AI. Learn how to ensure that AI reflects all perspectives of the human experience, and becomes a more diverse workforce: https://splk.it/3Q0XSrJ