Women in AI

Joelle Pineau is a prominent AI researcher driving progress in machine learning, reinforcement learning, and responsible AI, with a strong focus on open science and reproducibility.

Sara Hooker is a machine learning researcher focused on interpretability, model efficiency, and expanding equitable access to AI, blending deep technical work with social impact.

Ruha Benjamin examines how technology and society collide, highlighting the need for justice centered design and accountable AI development.

Rediet Abebe is a pioneering computer scientist whose AI focused research links algorithms with real world social challenges, advancing equity across justice, education, housing, and health.

Francesca Rossi is a pioneer in AI ethics and governance, focusing on value aligned systems and trustworthy decision support at scale.

Cynthia Breazeal is a pioneer in social robotics, building human centered robots that enhance learning, wellbeing, and everyday interaction.

Kate Crawford explores how AI systems mirror social and political forces, revealing the hidden labor, resources, and power structures behind modern technology.

Sasha Luccioni is a leading researcher focused on ethical AI and climate impact, known for her work measuring the environmental footprint of modern AI systems.

Fei-Fei Li is a pioneer in computer vision and human centered AI, whose research and leadership continue to guide the future of ethical, impactful artificial intelligence.

Allie K. Miller is one of the most influential figures in applied AI, known for turning complex ideas into clear strategy and helping leaders build confident, responsible AI adoption at scale.

Cassie Kozyrkov is a leading voice in decision intelligence and human centered AI, helping teams worldwide make clearer and more responsible data driven choices.

Anima Anandkumar is a pioneering AI researcher whose work on deep learning and foundation models has shaped modern AI while promoting responsible innovation.

Sharon Zhou is a leading figure in generative AI, driving accessible innovation and helping creators and companies unlock real world impact with advanced models.

Melanie Mitchell is an AI scientist known for her work on complexity and human like understanding, offering a clear voice on the limits of current machine learning.

Emilia Gómez is a pioneer in human centered AI, blending technical research with music, ethics, and policy to help shape fair, transparent, and trustworthy AI systems.

Laura Weidinger is a leading AI ethics researcher focused on safety, transparency, and aligning advanced systems with human values, guiding responsible AI development.

Raia Hadsell is a leading figure in deep reinforcement learning, known for her work on continual learning and building safe, adaptable autonomous systems.

Daniela Rus is a pioneer in robotics and AI, shaping the future of autonomous systems through her influential research and leadership at MIT CSAIL.

Daphne Koller is a leading figure in machine learning and AI, known for pioneering probabilistic models and advancing AI in healthcare and education.

Margaret Mitchell is a pioneering researcher in ethical AI, focused on fairness, accountability, and building transparent systems that better reflect real people and real-world needs.

Timnit Gebru is a researcher and advocate focused on ethical AI, highlighting bias, fairness, and the social impact of machine learning on marginalized communities.

Serena Yeung Levy advances computer vision for healthcare, building AI systems that improve clinical accuracy and support better patient outcomes.

Adele Goldberg is a pioneering linguist whose construction grammar research transformed our understanding of language learning and influenced modern AI.

A leading voice in equitable AI, Judy Hoffman focuses on fairness, accountability, and the real world impact of modern machine learning systems.

A cofounder of Y Combinator, Jessica Livingston has shaped the startup ecosystem and helped support early founders behind some of today’s leading AI companies, influencing how breakthrough ideas in the field take root.

Mira Murati has been a central figure in advancing modern AI, guiding OpenAI through rapid growth with a focus on safety, innovation, and real world impact.

A leader in scalable deep learning systems, known for driving breakthroughs in training efficiency and shaping the future of modern AI.