10 Women in Tech Leading AI in 2024

    From the creator of ChatGPT to the “Godmother of AI”, these names command recognition and represent a collective force propelling the field toward a future marked by innovation and inclusivity. These ten extraordinary women are trailblazers, leaders, and visionaries who actively shape technological evolution's trajectory. Their extensive, impactful contributions, and unwavering dedication to AI distinctly position them as influential figures in the dynamic landscape of the tech industry. 

    1. Allie Miller, Fortune 500 AI Advisor and Angel Investor 

    Allie Miller, a leading AI figure, served as Global Head of Machine Learning Business Development at Amazon (AWS) and, notably, the youngest woman to develop AI at IBM. Her expertise extends to advising top global machine learning researchers and founders. Beyond her roles, Allie actively shapes AI's landscape, contributing to global AI public policy, delivering worldwide talks, and authoring eight guidebooks to educate businesses on successful AI projects. Her diverse contributions showcase a commitment to advancing AI innovation and knowledge dissemination in the industry. 

    2. Cassie Kozyrkov, CEO at Data Scientific 

    Pioneering Decision Intelligence, Cassie Kozyrkov, former Chief Decision Scientist at Google, combines technical expertise with organizational transformation. As a global keynote speaker and educator, she champions the democratization of decision-making through her profound insights in data and AI. 

    3. Clara Shih, CEO at Salesforce AI  

    Clara Shih, CEO of Salesforce AI and Founder of Hearsay Systems, is leading Salesforce AI since March 2023, she spearheads revolutionary AI initiatives, including the successful launch of Service GPT and Sales GPT. Clara prioritizes responsible AI with foundational elements like Einstein Copilot Studio and Einstein Trust Layer, ensuring data privacy and governance for Large Language Models (LLMs). Under her guidance, Salesforce's Einstein AI has become a trusted platform, offering AI capabilities grounded in trusted data and workflows. Clara Shih's visionary leadership continues to shape the future of AI, emphasizing innovation and responsibility. 

    4. Dr. Fei-Fei Li, Sequoia Professor of Computer Science at Stanford University 

    Sequoia Capital Professor at Stanford, Dr. Fei-Fei Li, is often referred to as the “Godmother of AI”. She has left an indelible mark on AI, especially in deep learning and computer vision. Beyond academia, her efforts in promoting diversity through AI4ALL showcase a holistic commitment to the responsible development of AI technologies. 

    5. Dr. Joy Buolamwini Artist-in-Chief and President at The Algorithmic Justice League 

    Dr. Joy Buolamwini, founder of the Algorithmic Justice League, is a beacon for ethical AI. Her impactful TED Talk on algorithmic bias and advocacy for algorithmic justice highlight her dedication to ensuring fairness and humanity in the AI revolution. As a Best-Selling Author of "Unmasking AI: My Mission to Protect What is Human in a World of Machines," she continues to shape the narrative, ensuring AI aligns with human values in a world dominated by machines. 

    6. Kate Crawford Senior Principal Researcher at Microsoft Research 

    As a distinguished scholar exploring AI's social and political implications, Kate Crawford's 20-year career reflects a commitment to understanding the broader context of AI. Her co-founding of the AI Now Institute and impactful projects like "Anatomy of an AI System" underscore her role in shaping ethical AI practices. 

    7. Mira Murati, CTO at OpenAI  

    Mira Murati, OpenAI's Chief Technology Officer, leads pivotal AI projects, showcasing her technical prowess. As the creator of ChatGPT, her influence on conversational AI is profound. Beyond technical innovation, Murati advocates for AI regulation, emphasizing her commitment to ethical and responsible AI development. Her multifaceted contributions position her as a driving force in shaping the future of artificial intelligence. 

    8. Noelle Russell, Managing Director, Global AI Solutions Lead at Accenture 

    Noelle Russell, Managing Director at Accenture, is a leading voice in AI, recognized as a LinkedIn Top Voice and Microsoft MVP in AI. With a distinguished career at AWS, Amazon Alexa, Microsoft AI, NPR, Red Hat, and IBM, Noelle specializes in Responsible Generative AI. As a key figure in Data and AI Solutions at Accenture Federal Services, she empowers leaders in AI, LLMs, and GPT. 

    9. Dr. Rana el Kaliouby, Deputy CEO at Smart Eye 

    Dr. Rana el Kaliouby, Deputy CEO of Smart Eye, is a pioneer in Emotion AI. An accomplished AI scientist, entrepreneur, and thought leader, she is the author of "Girl Decoded" and a TED speaker. Her advocacy for humanizing technology, promoting diversity, and impactful projects solidify her as a transformative force in shaping the AI landscape. As an Executive Fellow at HBS, and affiliated with YPO and Eisenhower Fellow, Dr. el Kaliouby continues to drive innovation and inclusivity across AI domains. 

    10. Timnit Gebru, Founder & Executive Director at The Distributed AI Research Institute (DAIR) 

    As the founder of DAIR and a prominent figure in AI ethics, Timnit Gebru's contributions are vital. Her termination from Google in 2020 underscores her commitment to raising awareness about workplace discrimination and promoting inclusivity in AI. Timnit co-founded Black in AI, promoting diversity in the field, and serves on the board of AddisCoder, offering free AI education to Ethiopian high school students. Her multifaceted contributions extend beyond DAIR, reflecting a dedication to diversity, equity, and education in artificial intelligence. 

    These ten women in tech leaders exemplify the diversity, innovation, and ethical considerations needed in the ever-evolving landscape of AI. Their contributions not only push the boundaries of technology but also advocate for responsible and inclusive AI practices. As leaders, educators, and advocates, they are instrumental in shaping the future of AI in 2024 and beyond.