Professor Fei-Fei Li, the renowned computer scientist often referred to as the "godmother of AI," recently stated that she is "proud to be different" in a context that underscores the critical need for diversity in the field of artificial intelligence. Her comment came as she was honored with the prestigious 2025 Queen Elizabeth Prize for Engineering a moment notable for her being the sole woman among the seven pioneers of modern AI to receive the award. This statement highlights her continued advocacy for inclusivity and a human centered approach to AI development.
Dr. Li’s work is foundational to the deep learning revolution, primarily through her creation of ImageNet, a massive visual dataset that taught machines how to see and recognize objects on a large scale. Her technical contributions and role as the Co director of Stanford’s Human Centered AI Institute (HAI) position her as a leading global voice on the responsible and ethical progression of AI technology. Her dedication extends beyond the technical, as she is a co founder and chairperson of the non profit organization AI4ALL, which is specifically focused on increasing inclusion and diversity in AI education for historically excluded talent, including women and people of color.
The statement about being "proud to be different" is not just a personal reflection but a powerful public endorsement of diversity as a necessary component of the AI ecosystem. Dr. Li has previously addressed the “godmother” moniker, acknowledging that while she does not naturally embrace grand titles, she accepts it because rejecting it would mean missing an opportunity for women scientists and technologists to be appropriately recognized. This acceptance, and her public pride in her difference, serves as an inspiration for the next generation of women and minorities considering a career in the male dominated field of technology.
In her public discourse, Dr. Li consistently advocates for a pragmatic and science based conversation about AI, cautioning against both extreme rhetoric of existential doom and unrealistic edification. She stresses that the real and present risks of AI, such as bias in algorithms, are the ones that require immediate attention and mitigation. Her focus remains on ensuring that AI is developed as a tool to augment human intelligence and benefit all of humanity, aligning with the core mission of human centered AI. Her journey, from immigrating to the United States as a teenager to becoming one of the most influential figures in computer science, reinforces the idea that diverse backgrounds are essential for creating balanced, ethical, and universally beneficial AI technologies.
