Through Li Feifei’s personal growth and research journey, this book explores the development of computer vision, data, and modern AI, while also discussing the human condition and responsibilities in the context of technological progress.
The World I See: Li Feifei’s Autobiography; Li Feifei; CITIC Publishing Group; April 2024; ISBN 9787521762181
Translator: Zhao Can
This memoir intertwines personal experiences with the author’s scientific journey. Readers do not need prior knowledge of programming or model training to follow the author’s path through academia and research and understand how a scientific question is formulated, pursued, and advanced.
The narrative traces a path from personal growth, migration, and education to visual research, and then extends to the challenges that have emerged since ImageNet and artificial intelligence entered the public discourse. It focuses on the people, resources, and environments underlying scientific judgment, and explores the future of AI through the lens of human values. This is a content overview; the table of contents is not reproduced chapter by chapter.
This book is suitable for general readers who want to understand the origins of AI, students interested in scientific research careers, and professionals who are willing to consider technological development from the perspectives of data and research culture. It can also be read alongside technical textbooks to provide context for issues beyond algorithms.
Tools and models evolve rapidly, but the questions worth exploring over the long term are: Which problems are worth studying? Why is data important? And whom do these technologies ultimately serve? As you read this book, try keeping separate notes on your personal growth and your research questions, then observe how they influence each other.
This book is the author’s personal memoir; it is neither a comprehensive, impartial history of AI technology nor a tutorial on developing large language models. While the research experiences described in the book are insightful, they should not be used to derive a formula for success applicable to every team, nor should changes in the industry that have occurred since publication be incorporated into the author’s original narrative.
Book cover source:Book Recommendations from the Neijiang Normal University Library.
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