By Reut Lazo & Jenny Kay Pollock We're both still feeling energized from the  Microsoft  Better Together event! A huge thank you to  Saritha Prasad Vrittamani  and  Rachna Visal  for inviting  WOMEN x AI (WxAI)  to be part of such a magical evening. The WOMEN x AI team had an incredible time connecting with so many amazing women who believe in our mission. 💡💜 This year the focus was on Innovate, Inspire, and Impact. The audience was incited to shout out which one was their focus this year. In perfect unison Reut and Jenny shouted "IMPACT." From powerful panels to thought-provoking talks, every session was packed with wisdom. We took so many notes that we had to share our key takeaways: 🚀  Katy Brown's Keynote on Leading Through Change Better Together Keynote 1️⃣ Build your brand early—it's never too soon. Ask others how they perceive you. 2️⃣ Reframe challenges—learn and grow rather than "fake it till you make it." Katy shared, " Even now every single job I get I feel a little of that imposter syndrome. 'I don’t know if I can do this' becomes 'I think I can do this' which becomes 'I can do this.'" 3️⃣ Be patient—life isn't a race; focus on gaining the right skills. 4️⃣ Balance is possible—just not all at once. 5️⃣ Preparation is key—every meeting is a chance to move forward. Take a mindful moment to prepare for the next meeting. If you don’t prepare it’s a lost opportunity. 6️⃣ Prioritize yourself—your well-being matters. As women we so often prioritize others and it’s important you prioritize yourself. 7️⃣ Lead with empathy—it's a superpower. It can completely change the career trajectory of your team members. 8️⃣ Stay resilient—grit will take you far.  It is the number one trait I look for when I hire someone. Get gritty. Put one foot in front of the other. 9️⃣ Shift your mindset from Why me? to Why not me? 🔟 Enjoy the journey—things have a way of working out. Have fun! You spend 1/3 of your waking hours at work. Don’t take yourself too seriously and have fun along the way.   Cheri Devlin  did an amazing job moderating the panel! Some standout insights from the speakers: 💡  Paula Hansen : Prioritize self-care, be curious, and balance intuition with data in decision-making. It’s much better to be interested than trying to be interesting. With every move up in career you should as 2x questions than you did on the last role. 💡  Shelagh Glaser : Schedule time with yourself, fire the negative voice in your head, and embrace imperfect balance. Schedule a 1:1 with yourself reflect on your week and then set the stage for the next week. You’re holding yourself to a standard that nobody else is living up to 💡  Priya Saiprasad : Mindfulness is key, and the biggest career risks often lead to the biggest rewards. Mindfulness can be Pilates or matcha latte. There’s not one leadership style to emulate. It’s about getting to know yourself and your strengths and using that to build your own unique leadership style. 💡  Katrina Wong : Always be learning, and use storytelling to challenge the status quo. Discipline. Create good habits in your day and then it becomes easier. (Think atomic habits) 💡  Jenna Lange : With 90% of content soon to be AI-generated, authentic communication is more important than ever. There’s not one authentic you.  As  a leader you have to pick how much of your authentic self you want to bring. We got to connect with WOMENxAI community members and meet new leaders in AI. This event was a powerful reminder that we are truly better together. 💪🔥

AI Transparency: this was written by Jenny Kay Pollock and Reut Lazo in collaboration with edits from Perplexity and Pi.ai Reut Lazo and Jenny Kay Pollock Announce the launch of WOMENxAI (WxAI) In 2016, Reut moved to the United States, diving into the heart of Silicon Valley's tech scene at an innovative AR company. Two years later, Jenny walked through the same doors,achieving her goal of working at a Y-Combinator startup. As they worked side by side to ship AR headsets worldwide, Reut and Jenny discovered a shared passion for forward-thinking technology and user-centric product development, sparking an instant connection. Their complementary skill sets laid the groundwork for a partnership destined for success. The Journey: Complementary Superpowers Unite With Reut's expertise in cutting-edge product management and Jenny's ability to drive B2C revenue and growth, they quickly became an unstoppable team. Their combined strengths proved to be a winning formula, enabling them to consistently deliver impactful results and propel each other to new heights within the tech world. A Proven Track Record: Three Successes and Counting Having conquered three successful ventures together, Reut and Jenny have established a proven track record of excellence. Now, their fourth collaboration brings them to WOMEN x AI - a new chapter in their shared journey. WxAI is fueled by their commitment to elevating women in AI, shared forward-thinking vision, and unwavering passion for pushing the boundaries of technology.

AI Spotlight on Sophia Ononye Join us in celebrating Sophia Ononye, PhD MPH MBA , Founder and CEO of The Sophia Consulting Firm . She is the Creator, Host and Author of Amplifying Scientific Innovation®. Let's learn from Sophia: Share your AI origin story AI story started in childhood as I loved Knight Rider and the concept of talking cars but it quickly evolved to leveraging predictive computational technologies in optimizing the drug design and development process. What AI tools have been most game changing for you?   Gen AI, Chat GPT, In silico drug design tools. If you were just starting your AI journey today where would you start? ChatGPT and YouTube tutorials! Share the spotlight: Name 3+ women leading in AI we should all follow. Holly Uber, Irene Dankwa-Mullan, Kimberly Odums! As a woman in AI, what do you want our allies to know? AI is a powerful tool that can be leveraged by all women regardless of technical proficiencies to establish a winning strategy in a dynamic world. Special Series: Black History Month How do you see your work contributing to the broader legacy of Black women in technology? I was born in West Africa and have long embraced my trailblazing journey in inspiring the next generation of Black women in STEM and amplifying their voices through my podcast, opinion editorials, books, speaking engagements, and other thought leadership opportunities. How can the AI community better engage underrepresented communities in shaping ethical AI practices? If our databases remained skewed and biased with limited representation of underrepresented groups, we insufficiently serve humanity. Small changes can make a difference in communities that have been marginalized for years by helping to build trust and shared purpose. What are your hopes for the next generation of Black women entering AI? To be bolder in their ambition and to receive the social support needed to advance in any industry. How can we ensure that AI technologies benefit marginalized communities rather than perpetuate inequities? From a healthcare perspective, AI can help to reduce the cost of medicines thus improving access and quality by reducing the drug discovery timeline, finding new purposes for old drugs, improving our trust and reliability in the healthcare system.

Join the WOMENxAI community in celebrating Ricquel Harper , Founder of Alchemist of Ethical AI. Ricquel Harper is in the WOMENxAI Spotlight Let's hear from Ricquel: Share your AI origin story I have always been intrigued by innovation and emerging technologies since childhood. Efficiency has also been a driving force in my life—constantly seeking ways to maximize productivity without sacrificing quality, accuracy, or impact. My first real introduction to AI came through a workshop on course creation, where I explored generative tools for content development. What struck me was the glaring lack of representation of Black women in these AI models, and in some cases, the outputs were outright offensive. This eye-opening experience ignited my passion for advocating for more inclusivity in AI and ensuring ethical standards are upheld. I realized that AI is only as good as the data it’s trained on and the people who shape its development. From that moment on, I committed myself to not only leveraging AI for efficiency but also championing its responsible and diverse evolution—because technology should serve everyone, not just a select few. What AI tools have been most game changing for you?   Claude.ai, Perplexity, Gemini If you were just starting your AI journey today where would you start? If I were starting my AI journey today, I’d take a structured, hands-on approach that balances foundational knowledge, practical application, and community engagement. First, I’d build a strong foundation with Andrew Ng’s AI for Everyone on Coursera for a non-technical introduction. To deepen my understanding, I’d study Microsoft’s Fundamentals of AI Guide and take Ng’s Machine Learning course to grasp core AI and ML concepts. Since generative AI is shaping the future, I’d explore it through Generative AI courses and experiment with OpenAI’s GPT, Claude, and Google’s Gemini. Staying engaged with the AI community is key, so I’d join forums while keeping up with AI influencers and research papers. Most importantly, I’d embrace continuous learning, attending AI webinars, exploring new courses, and experimenting with real-world applications. AI is a marathon, not a sprint and the best way to learn is by doing, starting small, building projects, and refining skills over time. Share the spotlight: Name 3+ women leading in AI we should all follow. Angel Rich Dr. Joy Buolamwini Dr. Timnit Gebru As a woman in AI, what do you want our allies to know? As a woman in AI, I want our allies to understand several key points. Representation matters—women remain significantly underrepresented in AI, so increasing female participation in AI education and careers is essential. Support is crucial and allies can contribute through mentorship, resources, and program support. Diverse perspectives improve AI, making systems more inclusive and responsible, so advocating for diverse teams is key. Allies should also foster supportive work environments that encourage long-term growth. Ethical AI needs women's input to ensure inclusivity for all marginalized groups, making their involvement in AI ethics and governance discussions vital. Lastly, breaking down barriers is critical—awareness and active efforts to remove obstacles preventing women from accessing and utilizing AI technologies will drive meaningful change. By understanding and acting on these points, allies can help create a more inclusive and diverse AI industry that benefits from the full spectrum of talent and perspectives. Special Series: Black History Month How do you see your work contributing to the broader legacy of Black women in technology? My work contributes to the broader legacy of Black women in technology by challenging the status quo, advocating for ethical AI, and ensuring that Black women are not only represented but actively shaping the future of tech. By leveraging my expertise in AI, marketing, and strategy, I work to create more inclusive and responsible AI systems that reflect the full spectrum of human experiences. I see myself as part of a growing movement of Black women who are breaking barriers, driving innovation, and redefining what leadership in technology looks like. Through mentorship, advocacy, and direct contributions to AI development, I aim to pave the way for future generations—ensuring that Black women have the tools, visibility, and opportunities to thrive in this space. My work is about more than just representation; it’s about influence, impact, and building a technological future that serves us all equitably. How can the AI community better engage underrepresented communities in shaping ethical AI practices? To better engage underrepresented communities in shaping ethical AI practices, the AI community must take intentional steps to ensure inclusivity and accountability. This starts with involving community members directly in AI development, forming interdisciplinary teams that include diverse perspectives. Establishing strong partnerships with marginalized communities helps identify specific needs and create socially beneficial solutions. Investing in collaborative structures fosters shared responsibility and ethical transparency. Engaging creative voices, including designers and artists from diverse backgrounds, introduces fresh perspectives to ethical AI design. Clear ethical frameworks should be established with direct input from underrepresented groups, ensuring alignment with their values and expectations. Conducting impact assessments before AI implementation helps mitigate potential harms, particularly for marginalized communities. Transparency is key—organizations should communicate openly about AI applications and ethical commitments, fostering trust and dialogue. Providing multiple channels for community input ensures diverse voices are heard. Importantly, community engagement should be an ongoing process, with continuous updates on how feedback has influenced AI initiatives. By implementing these strategies, the AI community can build more inclusive, equitable, and ethically sound AI systems that serve all members of society. What are your hopes for the next generation of Black women entering AI? I envision a future where Black women in AI are not only present but thriving, leading, and reshaping the field in profound ways. I hope the next generation will drive ethical AI practices, ensuring fairness and inclusivity in the technologies that shape our world. Black women's unique perspectives will fuel innovation, bringing groundbreaking ideas that challenge biases and create more representative, equitable AI systems. Beyond individual success, I see Black women creating pathways for others, mentoring and uplifting future generations to build a more inclusive tech ecosystem. Our work will go beyond the industry—leveraging AI to address societal challenges like healthcare disparities and educational inequities, using technology as a tool for positive change. We will continue amplifying community voices, ensuring AI tools are built with real-world impact in mind, and advocating for data equity across industries. Through research and policy, we will shape regulations that promote fairness, accountability, and accessibility in AI. My hope is that Black women entering AI today will not only break barriers but redefine the field entirely—ushering in an era where AI serves all communities equitably, and where our leadership, brilliance, and influence become the norm, not the exception. How can we ensure that AI technologies benefit marginalized communities rather than perpetuate inequities? To ensure AI technologies benefit marginalized communities rather than perpetuate inequities, several key strategies must be implemented. AI systems should be designed with input from marginalized communities, forming interdisciplinary teams that consider power structures, trust, and impact from the start. Diverse and representative data must be used to prevent algorithmic bias and ensure inclusivity. Partnering with communities to understand their needs leads to more effective solutions, while ethical AI review boards help address discrimination. Accessibility and usability should be prioritized so AI serves people of all backgrounds and abilities. Socioeconomic factors must be considered to prevent widening inequalities, and upskilling programs should focus on diversity, equity, and inclusion to create more opportunities. AI should also be used to address disparities, such as pay gaps and workplace accessibility. Continuous learning and adaptation are crucial, as is recognizing and compensating stakeholder participation. Brené Brown’s podcast features two insightful episodes that dive into these issues: "Dr. Joy Buolamwini on Unmasking AI: My Mission to Protect What Is Human in a World of Machines," which examines the biases embedded in AI and the need for more equitable technology, and "Dr. S. Craig Watkins on Why AI’s Potential to Combat or Scale Systemic Injustice Still Comes Down to Humans," which explores how AI can either reinforce or challenge systemic inequalities depending on how it is developed and deployed. These conversations highlight why diversity, accountability, and ethical considerations must be at the forefront of AI development, reinforcing the importance of these strategies in creating a more just and inclusive technological future.

Join the WOMENxAI community in celebrating Jedidah Karanja , Marketing Leader in B2B/B2C SaaS and AI Strategist. She also serves on the Advisor Board for Community Bots focusing on bringing STEM and robotics to young women.  Let's learn more about AI from Jedidah: Share your AI origin story In December 2023, I stumbled upon a New York Times article about leaders in AI . Not surprisingly, it featured 12 of the usual male suspects in tech covered by the media and not one woman. Disappointed, I vowed to use my small platform, my LinkedIn feed, to amplify women's voices in AI. I called the series Women In AI and published my first post about Fei-Fei Li, also known as the Godmother of AI. Since then, I have dug deeper in my quest to amplify women's voices in AI and bring more women into the AI space through networking and community, education (sharing AI resources, tips, news, and tools), and inspiring storytelling. Through this journey, which has included many AI-centered virtual and in-person events, guest blogging opportunities, curating LinkedIn summaries post events, and many more interactions with our women in AI community, I have achieved my goal not only amplifying women's voices but also encountered some of the most phenomenal women AI innovators and tech leaders. These women, from diverse backgrounds and roles, all share the common goal of ensuring that diverse voices are integral in shaping this revolutionary technology. This diversity empowers us and makes our work in AI so impactful. Even more profoundly, I have found a deep connection and a strong sense of belonging in my professional and personal journey when I needed them the most. This sense of belonging is not just mine; but it's something we all share as part of the AI community. It's this sense of unity and shared purpose that makes our work in AI so powerful and meaningful. What AI tools have been most game changing for you?   ChatGPT , NotebookLM , Napkin AI If you were just starting your AI journey today where would you start? 1) Overcome the fear of the unknown by experimenting with an LLM like ChatGPT. The initial hurdle of learning a new technology can be daunting, but diving in headfirst can dispel these fears. Once you realize it's not as challenging as it seems, you'll gain confidence and everything else will fall into place. 2) Listen to select podcasts to stay updated on AI developments. Examples include The Artificial Intelligence Show with Paul Roetzer and Mike Kaput and Google Deepmind, The Podcast hosted by Hannah Fry 3) Subscribe to a few AI-focused newsletters, such as SuperHuman by Zain Kahn, TechCrunch, and AI Simplified for Leaders by Joyce Li. These newsletters will make you feel part of a supportive community, keeping you updated and inspired. 4) Join a community, such as Women x AI, and engage in virtual events, such as WxAISocialSaturday, and in-person events. You are guaranteed to learn something new daily and connect with phenomenal women interested in elevating their AI skills and those of other women. The excitement of learning from these communities will keep you engaged and motivated. 5) Find an AI course that is aligned with your goals to level up your AI skills. 6) Share your learnings with others. The best way to retain what you learn is to teach it to someone else. 7) Read books to help you better understand the AI landscape. Examples include Co-Intelligence by Ethan Mollick and Unmasking AI by Dr. Joy Buolwamini. Share the spotlight: Name 3+ women leading in AI we should all follow. - N. Liberty White - Kate Carter - Tara Thompson As a woman in AI, what do you want our allies to know? 1) Their support matters: we cannot win the battle for a more inclusive AI space without their help. History shows that when our allies (namely men) fight alongside us, we are more likely to succeed at an accelerated pace. 2) By inviting women to speak at AI panels and other industry events, you're not just diversifying the stage but amplifying the power of representation. Be your guest hosts in your podcasts, live streams, and anywhere else where you have a captive audience not exposed to women AI leaders. 3) Your role in shaping the narrative is crucial. Write about women AI leaders in newsletters, articles, blogs, newspapers, and other publications. Let their stories inspire and guide the next generation of AI professionals. 4) Mentor, advocate, and champion women in your workplace, invite them to participate in AI-driven projects and give them the tools and resources to succeed 5) It's important to remember that championing for inclusivity in AI is not just a nice thing to do; it's good for business and society at large. By promoting diversity, we can foster innovation and create a more equitable future for all. Special Series: Black History Month How do you see your work contributing to the broader legacy of Black women in technology? You cannot be what you cannot see. I see my work as a beacon of hope, opening doors for Black women and girls and inspiring them to pursue careers in AI and tech. My dream is to get to a place where I am not the only one in the room in the tech spaces I navigate professionally. Black women bring a fresh and diverse perspective through our lived experiences. Organizations and teams stand to benefit from our voices, and the potential we bring to the table is boundless. How can the AI community better engage underrepresented communities in shaping ethical AI practices? 1) It's crucial to immerse yourself in the spaces where underrepresented groups thrive. Join their communities, engage, and learn about their challenges, pain points, needs, and motivations. Your involvement can make a significant difference, so if you can, take action. 2) Tap into your network of people from underrepresented groups for your needs. Do you need a panelist, someone to fill a role, or a podcast or streaming guest? Ask someone from an underrepresented group to make a referral and an intro. 100% of the time, they belong to a group with a wealth of seasoned professionals. 3) Follow AI leaders from underrepresented groups on LinkedIn and other platforms where you have a presence, and engage with them whenever possible. 4) It's our responsibility to invite people from underrepresented communities to participate in AI-driven workplace projects. We must offer them the mentorship and training they need to succeed, ensuring that they are not left behind. This support is crucial in fostering a more inclusive and diverse tech industry. What are your hopes for the next generation of Black women entering AI? I hope the next generation of Black women does not have to fight so hard for their voices to be heard. I hope they don't have to fight so hard to have a seat at the table. I hope my daughters, who bust their behinds every day and work harder than everybody else to be the best at EVERYTHING they do, are never labeled as Diversity, Equity, and Inclusion hires. Even when labeled as such, I hope they can brush it off, continue to shine, and understand that it is not a reflection of who they are. How can we ensure that AI technologies benefit marginalized communities rather than perpetuate inequities? 1) Include marginalized communities in the development of AI technologies. 2) Ensure marginalized communities have a voice in AI policy and governance. 3) Make sure that AI technologies are easily accessible to marginalized communities. 4) Provide training in AI to marginalized communities to ensure they are not left behind.

Join us in celebrating Naomi Kilungu she's in the AI Spotlight. Her journey began with a deep dive into the role of AI in global conflicts during her master's research, which eventually led her to pursue a PhD focusing on the intersection of AI and conflict. This passion has driven her to explore how AI can be a catalyst for peace, particularly in Africa, where the continent's narrative in the AI space is ripe for transformation. Naomi's work is part of a broader movement that seeks to harness AI for social good. Through her organization, AI for Peace Africa, she is dedicated to research, capacity building, and developing models that promote peace. Let's learn more about AI from Naomi. Let's learn more about AI from Naomi: Share your AI origin story My journey with AI began six years ago during my master's research. As I delved into the complexities of global conflicts, I realized the profound role AI plays in shaping warfare, humanitarian efforts, and peacebuilding. This revelation was a pivotal moment for me—it sparked a passion to explore how AI could be harnessed not just as a tool of warfare, but as a catalyst for peace. This passion led me to pursue a PhD, where I now focus on the intersection of AI and conflict. My research aims to uncover how AI can be leveraged to address some of the world's most protracted crises, particularly in Africa. It became clear to me that Africa's narrative in the AI space needed to shift. With only 20% of African data being utilized in global AI development, the continent risks becoming a testing ground rather than an active participant in shaping AI's future. Driven by this realization, I founded AI for Peace Africa. Our organization is dedicated to research, capacity building, and developing models that promote peace. We aim to awaken Africa to the potential of AI, ensuring that the continent is not just a consumer of AI technologies but a leader in creating solutions tailored to its unique challenges. Africa faces some of the world's most enduring conflicts, displacement crises, and economic struggles. My goal is to empower the continent to harness AI as a tool for solving these crises, changing the narrative from one of vulnerability to one of innovation and resilience. Through AI for Peace Africa, I am committed to a future where Africa is at the forefront of AI-driven peacebuilding, ensuring that our data, perspectives, and solutions are integral to the global AI landscape. What AI tools have been most game changing for you?   Deepseek , Perplexity.ai , Gamma.AI If you were just starting your AI journey today where would you start? I would do AI as my first degree. Share the spotlight: Name 3+ women leading in AI we should all follow. Ary Aranguiz , Branka Panic, Esther M.manthi As a woman in AI, what do you want our allies to know? I am for inclusive peace. Africa’s rich cultural, linguistic, and social diversity offers unique insights that can lead to more innovative and context-aware AI solutions. Women, in particular, bring perspectives that are often overlooked but are critical for creating AI that serves everyone. Therefore, women in AI of Africa are important in shaping global conversations around AI. Special Series: Women's History Month Can you share an example of how AI can be used to address gender-specific challenges or inequalities? AI can play a remodelling role in addressing gender-specific challenges in conflict zones. For example, in regions affected by war, women and girls often face heightened risks of gender-based violence and displacement. AI-powered tools can analyze conflict patterns to predict areas of risk, enabling humanitarian organizations to deploy resources more effectively to protect vulnerable populations. Additionally, AI can be used to create secure communication platforms for women in conflict zones, allowing them to report abuses, access support services, and connect with peacebuilding initiatives. By employing AI, we can ensure that women’s safety and voices are prioritized in conflict resolution and recovery efforts. How do you envision AI shaping the future of women's rights and opportunities? AI can shape the future of women's rights and opportunities. Here are some examples: 1. Safe Communication: AI can create secure platforms for women to report abuse, access support services, and connect with legal aid. 2. Awareness Campaigns: AI can help design and target awareness campaigns to educate communities about women’s rights and the importance of gender equality. 3. Storytelling Platforms: AI can help women share their stories and experiences, amplifying their voices on a global scale. This can drive advocacy and policy change. What strategies have you employed to overcome gender-related obstacles in your AI career? 1. Building a Strong Support Network. 2. Continuous Learning and Skill Development. 3. Writing and Publishing: Contributing articles, research papers, and blogs on AI and its. applications has allowed me to amplify my voice and reach a broader audience. 4. Self belief. 5. I like promoting diversity, I talk about inclusive AI all the time. What advice would you give to young women aspiring to enter the field of AI? To other women navigating their AI careers, my advice is to be consistent, seek out support, and never underestimate the power of your unique perspective. Collaborate with others, seek out inclusive platforms. Field of AI needs diverse voices to drive innovation and create solutions that benefit everyone. By overcoming obstacles and advocating for inclusivity, we can pave the way for a more equitable and impactful future in AI. How do you think AI can be leveraged to celebrate and preserve women's history? There is a great opportunity to use AI to archive women history and to amplify what they do through AI.

Women have played a pivotal role in shaping artificial intelligence and computer science since their inception.  This Women's History Month, let's celebrate some of these remarkable individuals who have broken barriers and left an indelible mark on the field. Modern AI and Computing Leaders Fei-Fei Li - A key figure in AI research, her contributions to computer vision and machine learning have significantly advanced AI systems' capabilities. Dive deeper into her work through her book: The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI Joy Buolamwini - As the founder of the Algorithmic Justice League, Buolamwini leads the charge in addressing bias in AI systems, ensuring fairness and accountability. Mini Documentary on YouTube: The Coded Gaze: Unmasking Algorithmic Bias Timnit Gebru - A prominent researcher on the societal impacts of AI, Gebru emphasizes the importance of ethics in AI development. Receiving her PhD from the Stanford Artificial Intelligence Laboratory, studying computer vision under Fei-Fei Li. Article: Facial Recognition is Accurate, If You're a White Guy Cynthia Breazeal  - Specializing in social robotics, Breazeal's research focuses on creating AI systems that interact naturally with humans. Pioneering Women in Computing Ada Lovelace (1815-1852) - Considered the world's first computer programmer, her groundbreaking work laid the foundation for modern programming. Grace Hopper (1906-1992) - This U.S. Navy rear admiral and computer scientist made significant contributions to early programming languages, developing the first compiler and contributing to COBOL. Katherine Johnson (1918-2020) - As a NASA mathematician, her calculations were vital for human space exploration, ensuring the success of numerous missions. Despite facing obstacles like gender bias and limited opportunities, these women persevered and made lasting impacts on their fields. Their contributions continue to inspire future generations of women in technology, promoting both technical advancements and diversity in AI and computing. As we celebrate these trailblazers during Women's History Month (and all year long!) let's remember to support women in technology and encourage a more inclusive future.  Together, we can build an industry that not only drives innovation but also fosters equity.

Join us in celebrating Kim Carson  she's in the WOMENxAI Spotlight. Let's learn more about AI from Kim: Share your AI origin story My passion for technology and AI was sparked during my formative years, despite facing numerous obstacles due to my race and gender. The portrayal of Lt. Uhura from Star Trek as the first Black woman in space was a significant influence, igniting my aspirations to become an aerospace engineer. However, systemic barriers, including exclusion from programs like the Civil Air Patrol and discouragement from educators, instead fueled my determination to create pathways for others like me​. My professional journey began in Silicon Valley during the dotcom era, where I carved out unique roles that challenged norms. My AI journey took a significant leap forward at IBM, where I led the development and market launch of IBM Watson Education. This tool was designed to assist teachers in underserved schools by personalizing learning pathways using aggregated student data. As of 2024, I am the Interim Chief of Staff at Imagine Global, where I continue to push the boundaries of beneficial AI and deep tech. My vision is to leverage AI not just for technological advancements but for societal transformation, aligned with my broader mission of integrating humanity-centric and sustainability-focused models into AI development​. What AI tools have been most game changing for you?   ChatGPT 4.0; Motion; You.com If you were just starting your AI journey today where would you start? There are plenty of free courses that teach all the latest and greatest AI tools. I often think I should do one myself so that I get caught up with the latest innovations! Share the spotlight: Name 3+ women leading in AI we should all follow. Rachel St Clair Laila Danielson Ani Chahal Honan As a woman in AI, what do you want our allies to know? You don't just belong in the space, we NEED you in the space. AI can only reflect all of humanity if everyone takes part. Special Series: Women's History Month Can you share an example of how AI can be used to address gender-specific challenges or inequalities? I'm particularly excited about AI as it relates to protein folding, gene mapping and drug discovery for female health. There are already great companies talking about the unique health needs of women experiencing perimenopause and menopause. How do you envision AI shaping the future of women's rights and opportunities? I think that as we get closer to AGI, women will need to take a bigger role. A lot of societal benefit will be enabled by intelligence that makes traditional women's work easier (care-taking, education, hospitality). What strategies have you employed to overcome gender-related obstacles in your AI career? I find accomplices in my male colleages that help me be in the right rooms with the right discussions. What advice would you give to young women aspiring to enter the field of AI? Don't think about it, just do it. AI is more than a field it will impact every field, the more you are able to reshape our future, the better off we will be. How do you think AI can be leveraged to celebrate and preserve women's history? Incorporate wisdom and history into our models.

Join us in celebrating Andrea Henderson , she's in the AI Spotlight. Andrea Henderson is in the WxAI Spotlight Let's learn more about AI from Andrea: Share your AI origin story My career in biotech, pharma, and healthcare as a talent professional gives me an insider’s view of what makes executives and leaders successful. I’ve worked with top organizations, built succession plans for CEOs’ direct reports, and placed leaders in mission-critical roles. I understand the nuances of leadership, diversity, and corporate decision-making at the highest levels. Pivotal Moment: Recognizing that traditional search processes were slow and inefficient, I saw an opportunity to integrate AI into talent assessment and executive hiring. I realized that AI could help identify leadership gaps, predict performance potential, and streamline search processes. Pivotal Moment: Realizing that AI isn’t just a tool for automation but a strategic partner that could empower professionals, entrepreneurs, and investors in ways that weren’t previously possible. This evolution aligns with my larger mission: leveraging AI to create access to wealth, leadership, and economic opportunity for underrepresented groups. What AI tools have been most game changing for you?   ChatGPT, Perplexity, HeyGen If you were just starting your AI journey today where would you start? ChatGPT Share the spotlight: Name 3+ women leading in AI we should all follow. Asmau Ahmed, Didem Un Antes, Erin Reddick As a woman in AI, what do you want our allies to know? You have to constantly check for bias and so that we build it properly and not have another thing where we have to dismantle systemic inequities Special Series: Women's History Month How do you envision AI shaping the future of women's rights and opportunities? We have an opportunity to get in early and lead while others hesitate. This is a generational opportunity to be at the forefront, something not previously possible for our mother’s and grandmothers. What strategies have you employed to overcome gender-related obstacles in your AI career? I’m an early adopter (relatively speaking.) I’m learning, teaching and advocating for more women to participate. I’m with others creating a lane so I’m not aware of any obstacles. What advice would you give to young women aspiring to enter the field of AI? Get in early and lead from the front. Be visible and vocal. How do you think AI can be leveraged to celebrate and preserve women's history? We can add to the archives as we build it.

Dipti Bhide CEO & Co-Founder of LittleLit AI The recent #WxAISocialSaturday event, hosted by Dipti Bhide, CEO of LittleLit.AI , brought together tech enthusiasts and innovators to discuss AI's impact on various aspects of life and business. The conversation centered around three key questions, sparking insightful discussions on AI experiences, applications, and the future of AI education. New Experiences in 2025 WxAI community members shared diverse experiences, including trying fusion cuisine like Indian food in tacos, tasting sea urchin sushi for the first time, enjoying warmer spring weather, and launching new businesses! Ary Aranguiz celebrated a BIG achievement: "For the first time, I am officially a business owner! 🚀 This morning I opened my business account and I'm beyond excited to launch my AI education consultancy in the next few weeks: Future-Ready AI Group !" Fascinating AI Applications The discussion highlighted various AI tools making waves across different sectors. Summer Poletti mentioned her recent experience: "I used deep research in Gemini and ChatGPT yesterday," showcasing the practical applications of AI in research and information gathering. Jenny Kay Pollock shared her experience with an AI tool: "I used the TwinMind chrome extension for two meetings yesterday and was impressed at the summary and action item list." This demonstrates how AI is streamlining professional workflows and enhancing productivity. Malcolm Kane introduced an intriguing AI-powered game: "I recently saw a game that used AI to determine what you would get if you combined two words. I'll put a link in the comments after, but it was a cool idea for a technically infinite game." The game, called Infinite Craft , showcases the creative potential of AI in entertainment. Raising AI-Responsible Citizens Dipti, our event host, shared valuable insights on raising an AI-first generation: "The key is to make AI a meaningful part of kids lives early. Start educating kids about AI early, help them recognize it in daily life." She also stressed the importance of providing "child safe, fun, creative AI tools" and introducing "ethics of AI early and build the right mental model for responsible use." Ary Aranguiz emphasized the importance of a comprehensive approach to AI education: "AI literacy education must start in the home and then be reinforced in schools. Educating parents and teachers is also critical. This is one area I plan to take my business, offering parenting workshops in my community so parents learn how to assist their kids and leverage it themselves." The Future of AI in Education and Business The discussion highlighted the growing importance of AI literacy across all age groups. Summer Poletti expressed enthusiasm for initiatives addressing AI literacy for children: "I love this takeover! So glad someone is tackling AI literacy for kids cuz academia still has a hands off approach. We want them learning the right skills that will help them in the 'real world'." This #WxAISocialSaturday event demonstrated the community's commitment to embracing AI responsibly and ensuring that future generations are well-equipped to navigate an AI-driven world. It highlighted the need for continued dialogue, education, and innovation in the AI space, particularly focusing on preparing the next generation for an AI-integrated future. AI Tools Highlighted During #WxAISocialSaturday TwinMind : Recognized for its AI-driven insights and tools designed to enhance human decision-making and creativity. On app and chrome extension. ChatGPT : Featured for its advanced AI chatbot capabilities, enabling natural language interactions and personalized assistance. Gemini : Noted for its multimodal AI capabilities, integrating text, image, and code understanding for enhanced user experience. LittleLit.AI : Highlighted for its AI-powered storytelling platform, creating personalized and interactive children's literature. They even have an AI Homework Helper . Operator : Recommended for its AI-driven business tools, streamlining operations and optimizing workflows for enterprises. Infinite Craft : Celebrated for its AI-generated crafting game, allowing users to combine elements and explore endless creative possibilities. 👉 Check out our full list of AI tools mentioned by our community, " Bridging the Gender Gap: AI Tools Recommended by the WOMENxAI Community. " Join the conversation and stay updated on the latest AI trends and discussions by following #WxAISocialSaturday and connecting with the WOMEN x AI community.

A parent and child share smiles and curiosity as they explore a vibrant AI-generated world of unicorns and castles on their computer. The WOMEN X AI (WxAI) community has shared valuable insights on raising AI-responsible kids, emphasizing the importance of equipping children with the skills and values necessary to navigate a world increasingly influenced by artificial intelligence. Here's a curated list of suggestions from our AI leaders: Early Education: Start teaching children about AI early, helping them recognize when they are using it in daily life. For example, explain how voice assistants like Alexa or Siri work, or how recommendations on YouTube or Netflix are generated by algorithms. Use simple language and examples to help them understand that AI is not magic—it’s a tool created by humans. Early exposure fosters curiosity and demystifies AI, preparing kids to engage with it confidently as they grow. Academia's Hands-off Approach Needs to Change Proper Tools: Provide child-safe, fun, and creative AI tools for learning. Tools like Scratch (for coding), Google’s Teachable Machine (for building simple AI models), or games like LittleLit - AI for Kids can make learning about AI interactive and enjoyable. Encourage creativity by letting kids experiment with building their own projects using AI. Even young kids can prompt alongside you and ask for ideas of what to do on a rainy day or to create magical images. Another fun way to introduce AI for younger kids is Scribby  custom books build with AI to feature your child going on grand adventures. There are many generative AI image tools you can use to create custom coloring pages for kids. Ethics: Introduce AI ethics early to build the right mental model for responsible use. Use relatable scenarios to explain how AI decisions can impact people’s lives—for example, why it’s important for algorithms to treat everyone equally regardless of their background. Instilling these values early helps children develop a strong moral compass when interacting with or creating AI technologies. Comprehensive Approach: AI education shouldn’t be limited to one setting—it requires collaboration between parents, educators, and communities. At home, parents can encourage curiosity about technology through conversations and hands-on activities. Schools should integrate AI literacy into STEM curricula, teaching not only technical skills but also critical thinking and ethical considerations. A holistic approach ensures consistent reinforcement of key concepts Parental Involvement: Parents and teachers need to understand AI themselves in order to guide children effectively. Organize workshops or online resources that teach adults the basics of AI, its applications, and its implications for the future. When parents and educators are informed, they can better support children’s learning journeys, answer questions confidently, and model responsible technology use. AI Literacy Must Start in the Home Critical Thinking: Teach kids to think critically first, then how to think critically with AI assistance. Before introducing children to AI tools, focus on developing their general critical thinking skills—such as analyzing information, asking questions, and solving problems independently. Once this foundation is established, teach them how to evaluate the outputs of AI systems critically by questioning accuracy, reliability, and potential biases in the data or algorithms used. Teach Kids to Put on Critical Thinking Hats Purposeful Use: Help children understand that while AI is a powerful tool, it should be used thoughtfully and with purpose. For example, instead of relying on an AI chatbot for every question they have, encourage them to research answers independently first or use the chatbot as a supplementary resource. This approach fosters balanced technology use while emphasizing personal growth and decision-making. Integration vs. Restriction: Focus on teaching proper AI use rather than trying to keep children from using it, especially in school. Restricting access to technology can lead to curiosity without guidance or understanding. Instead of banning certain apps or tools outright, teach children how to use them responsibly—whether it’s understanding privacy settings on social media platforms or recognizing misinformation online. Schools should prioritize integrating responsible technology use into lessons rather than avoiding it altogether. Practical Application: Prepare children for a world where AI is commonplace in business and education. Show children real-world applications of AI that they might encounter in their future careers or studies—such as chatbots in customer service roles or machine learning in healthcare research. Encourage hands-on projects where they can apply what they’ve learned about AI in practical ways, such as creating simple models or exploring case studies of businesses using AI effectively. Collaboration > Tool Responsible Research: Teach kids how to use AI for research while being aware of risks and ensuring information accuracy. Guide children on how to leverage AI tools like ChatGPT or Perplexity effectively for research purposes while emphasizing the importance of verifying information from credible sources. Discuss potential risks such as misinformation or bias in data outputs so they can approach research critically and responsibly. 🛠️ Check out additional AI tools shared during this discussion. As we embark on this journey of raising AI-responsible kids, it’s essential to remember that the future of technology is not just about tools and algorithms—it’s about the values and principles we instill in the next generation. By embracing AI education early and responsibly, we empower children to navigate a rapidly changing world with confidence, creativity, and a strong moral compass. The WOMEN x AI community is committed to fostering a supportive environment where parents, educators, and leaders can share insights and best practices for raising AI-savvy kids. Together, we can ensure that the benefits of AI are equitably distributed and that our children grow into thoughtful, innovative leaders who harness technology to build a brighter future for all.

Kate Carter in the WxAI Spotlight Join us in celebrating Kate Carter , PhD Candidate in AI & Healthcare, Public Speaker, Advocate for Diversity in Tech. Kate's leadership at the intersection of AI and healthcare is inspiring. Let's hear from Kate: Share your AI origin story I never planned to work in AI. My career started in healthcare, focusing on patient care. But I knew physical therapy wasn't something I could do for the rest of my life, so I went back to school. I earned two master's degrees, one in leadership and management and another in blockchain technology. Both opened my eyes to the Fourth Industrial Revolution. That was the moment everything changed. I started working at Mia AI, an organization focused on empowering one million women with AI. The mission spoke to me, and I threw myself into the work. I became an AI 2030 Fellow and joined the leadership team for the Black AI Think Tank, committed to increasing access, education, and representation in technology. Now, I am a first-year PhD student researching how AI can improve chronic pain management. My journey has taken me from patient care to technology, from healthcare to ethics, from learning to leading. I am proud of the work I do because it is shaping a future where AI serves people, not the other way around. Every step I take is a step toward making that vision a reality. What AI tools have been most game changing for you?   The three AI tools that have had the biggest impact on my work are ChatGPT , Perplexity , and Gamma . ChatGPT has been essential for brainstorming, drafting, and refining ideas. It helps me structure complex thoughts, making my writing more efficient and clear. Perplexity has changed the way I research. It pulls information from multiple sources, giving me a broader and more nuanced understanding of topics. It makes finding relevant data faster and more reliable. Gamma has transformed the way I create presentations. It simplifies slide design and storytelling, allowing me to focus on delivering strong, engaging content without spending hours formatting. Each of these tools has helped me work smarter, communicate better, and push forward ideas with more impact. If you were just starting your AI journey today where would you start? If I were starting my AI journey today, I would focus on learning, experimenting, and connecting with others in the field. I would begin by building a strong foundation. Free and affordable online courses on Coursera, Mia AI, and YouTube provide a great starting point. Reading The Coming Wave by Mustafa Suleyman or Artificial Integrity by Hamilton Mann would help me understand the broader impact of AI and its ethical challenges. Next, I would get hands-on experience with AI tools. ChatGPT, Perplexity, and Gamma are useful for research, writing, and presentations. Exploring no-code tools like RunwayML or Google's Teachable Machine would allow me to see how AI models function without needing to code. Connecting with the AI community would be just as important. I would follow industry leaders on LinkedIn, join discussions, and attend webinars. AI is evolving every day, and being part of the conversation would help me stay informed and find new opportunities. The best way to learn is by doing. AI is shaping every industry, and understanding how to use it now would open new possibilities for the future. Share the spotlight: Name 3+ women leading in AI we should all follow. Here are three women leading in AI who you should follow: Timnit Gebru  - Founder of the Distributed AI Research Institute (DAIR) and a leading voice in AI ethics, fairness, and accountability. She has done groundbreaking work on bias in AI and the social implications of machine learning. Fei-Fei Li  - Co-Director of the Stanford Human-Centered AI Institute and a pioneer in computer vision. Her work has influenced the development of ethical and inclusive AI. Joy Buolamwini  - Founder of the Algorithmic Justice League, advocating for fairness in AI systems and fighting against bias in facial recognition technology. Others to follow include Rediet Abebe, Rumman Chowdhury, and Danielle Belgrave, who are shaping AI's future across ethics, policy, and healthcare. As a woman in AI, what do you want our allies to know? As a woman in AI, I want our allies to understand that support is more than encouragement. It requires action, accountability, and a commitment to creating real opportunities. AI is shaping the future, but too often, the perspectives of women, especially women of color, are overlooked. We are already leading, researching, and building. What we need is recognition, access to resources, and a seat in the decision-making process. Hiring, funding, and leadership must reflect the diversity of the world AI is meant to serve. True allyship means speaking up when voices are excluded, amplifying the work of women in the field, and ensuring that ethical and inclusive AI is the standard, not the exception. Special Series: Black History Month How do you see your work contributing to the broader legacy of Black women in technology? My work builds on the legacy of Black women in technology by expanding access, representation, and ethical leadership in AI. Those who came before me broke barriers, often without recognition, and made it possible for me to be here. I carry that forward by ensuring AI serves communities that have historically been left out of the conversation. I focus on equity in healthcare AI, making sure that technology does not reinforce the same biases that have harmed marginalized groups for generations. Through research, advocacy, and education, I work to create pathways for others to enter this field and lead. Representation is not enough. Black women must have decision-making power in how AI is designed and used. Every step I take is part of a larger movement. I want the next generation to enter this space knowing they belong, their ideas matter, and they have the tools to shape the future. That is the legacy I want to leave. How can the AI community better engage underrepresented communities in shaping ethical AI practices? The AI community can better support communities in shaping ethical AI practices by ensuring transparency, inclusivity, and accountability at every stage of development. First, AI must be built with input from the communities it affects. This means engaging diverse voices, especially those historically excluded from technology decision-making. Ethical AI cannot be created in isolation. Researchers, policymakers, and technologists must actively listen to communities, understand their concerns, and incorporate their perspectives into design and deployment. Second, education and accessibility are essential. Many communities lack the resources to understand how AI impacts their lives. The AI community must invest in AI literacy, ensuring that people have the knowledge and tools to advocate for themselves. Public engagement should not be an afterthought; it should be part of the process from the start. Finally, accountability must be a priority. Ethical AI practices require more than guidelines and statements. They demand oversight, continuous evaluation, and real consequences when AI harms marginalized groups. Organizations should commit to external audits, open-source reporting, and policies that prevent bias rather than addressing it after harm has been done. Ethical AI is not just about better technology. It is about centering people, protecting rights, and ensuring that innovation benefits everyone, not just those with power and influence. What are your hopes for the next generation of Black women entering AI? I hope the next generation of Black women entering AI walks into spaces where they are valued, heard, and leading. I want them to see themselves at every level, from researchers to executives, shaping the future of technology in ways that reflect their communities and experiences. I hope they do not feel the need to prove they belong but instead step in knowing their ideas, perspectives, and contributions are essential. The barriers that existed for those before them should not be their reality. They should have access to resources, funding, and mentorship that allow them to thrive without fighting for a seat at the table. I want them to redefine what leadership in AI looks like. They should be the decision-makers, the policy shapers, and the ones ensuring that AI is ethical, fair, and inclusive. Their voices should not be an exception but the norm. Most of all, I hope they enter this space with confidence, knowing that they are part of a legacy of Black women who have always been innovators, problem-solvers, and leaders in technology. How can we ensure that AI technologies benefit marginalized communities rather than perpetuate inequities? Ensuring that AI benefits marginalized communities starts with building technology that centers people, not just profits. Developers, researchers, and policymakers must work alongside the communities AI is meant to serve, listening to their needs and concerns before a single line of code is written. Bias in AI does not come from the technology itself. It comes from the data, the developers, and the systems that shape it. Addressing this requires diverse teams that understand the lived experiences of marginalized groups. Representation at every level of AI development and governance is essential. Regulation and accountability must be more than afterthoughts. Companies should not be left to police themselves when it comes to bias and harm. Independent audits, transparency in AI decision-making, and policies that protect people from discrimination must be standard practice. Education and access to AI tools are just as important. Marginalized communities should not only be passive users of AI but active creators. Training programs, funding, and pathways into AI careers need to be prioritized to ensure these communities have the power to shape the future of technology. AI should not deepen the inequalities that already exist. It should be a tool for equity, opportunity, and progress. That will only happen if those most impacted have a voice in how it is built and used.