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Core Insights - Fei-Fei Li was awarded the Queen Elizabeth Prize for Engineering in Spring 2025 for her foundational contributions to computer vision and deep learning, particularly as a core advocate of the ImageNet project [1][2] - Li emphasizes that engineering is not just about computational power and algorithms, but also about responsibility and empathy, warning against the dehumanization risks posed by AI [2][12] Group 1: Achievements and Contributions - Li's research has enabled machines to perceive the world in a way that closely resembles human vision, marking a significant milestone in AI development [1][8] - The ImageNet project, initiated in 2007, has been pivotal in shifting the paradigm towards data-driven deep learning methods, which became mainstream after the 2012 ImageNet competition [8][9] Group 2: Ethical Considerations and Social Impact - Li advocates for a human-centered approach to AI, stressing that technology must align with human values and needs, and warns against the over-commercialization and militarization of AI [10][12] - She has called for the establishment of ethical regulatory mechanisms for AI, emphasizing the urgency of integrating legal frameworks to ensure responsible AI development [17][20] Group 3: Personal Background and Perspective - Li's immigrant background and experiences as a woman in technology have shaped her unique perspective on the societal implications of AI, allowing her to recognize structural biases within the tech ecosystem [4][22] - Despite her significant contributions, Li expresses discomfort with being labeled as a "godmother of AI," advocating for a broader representation of women in the field [23][29] Group 4: Challenges and Controversies - The ImageNet dataset has faced criticism for potential racial biases, prompting discussions about the ethical implications of AI training data [26][28] - Li's position as a prominent figure in AI raises questions about the balance between human-centered values and the commercial pressures of the tech industry, highlighting the complexities of her role [31][34]