

Babbage: Fei-Fei Li on how to really think about the future of AI
18 snips Nov 22, 2023
Fei-Fei Li, a pioneer in computer vision and co-director of Stanford's Institute for Human-Centred AI, discusses the transformative impact of AI technologies like ChatGPT. She advocates for a human-centered approach, emphasizing AI as a tool to enhance rather than replace humans. The conversation tackles ethical challenges, including disinformation and inherent biases, while navigating the complexities of AI governance. Li also explores the philosophical implications of AI sentience, urging a focus on responsible development and real-world societal impacts.
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Vision and Intelligence
- Seeing is fundamental to intelligence and survival, driving evolution and speciation.
- Computer vision aims to replicate this crucial aspect of intelligence in machines.
Limited Early Datasets
- Fei-Fei Li's early computer vision research used a dataset with only four objects: airplanes, leopards, faces, and cars.
- This was due to the limited availability of digital images and computational power in the early 2000s.
AlexNet Breakthrough
- AlexNet, a deep learning model, significantly improved image recognition in 2012.
- Fei-Fei Li recognized this as a pivotal moment in AI's development.