human-centered ai

At 15, Fei-Fei Li transitioned from a middle-class life in China to poverty in America. Despite the pressures of her family’s financial situation and her mother’s ailing health, her knack for physics never wavered. She went from learning English as a second language to attending and working at prestigious institutions like Princeton and Stanford. Today, she is among a handful of scientists behind the impressive advances of artificial intelligence in recent times. In this episode, she breaks down her human-centered approach to AI and explores the future of the technology. Dr. Fei-Fei Li is a professor of Computer Science at Stanford University and the co-director of the Stanford Institute for Human-Centered AI. She is the creator of ImageNet, a key driver of modern artificial intelligence. With over 20 years at the forefront of the field, Dr. Li is focused on AI research, education, and policy to improve the human condition.    In this episode, Hala and Fei-Fei will discuss: - The current capabilities of AI - The difference between machine learning and AI - The training process for AI models - The gaps in our knowledge about how AI learns - Why ChatGPT fails at higher-level reasoning like math - The biological inspiration for vision in computers - Fears and hopes associated with AI - The human element of jobs AI can’t replace - Augmentation of human capabilities through AI - The three pillars of her human-centered AI framework - Responsible development and use of AI - The roadblocks to be aware of when using AI - Her advice to young entrepreneurs navigating the AI world  - And other topics…   Dr. Fei-Fei Li is a professor of Computer Science at Stanford University and the co-director of the Stanford Institute for Human-Centered AI. She is also the creator of ImageNet and the ImageNet Challenge, a key catalyst to the latest developments in deep learning and AI. Sometimes called the ‘Godmother of AI,’ she is a pioneer in early computer vision research. Dr. Li is the author of The Worlds I See, one of Barack Obama's recommended books on AI. Her work has been featured in various publications, including the New York Times, Wall Street Journal, Fortune Magazine, Science, and Wired Magazine.  Connect with Fei-Fei: Fei-Fei’s Bio: https://profiles.stanford.edu/fei-fei-li  Fei-Fei’s LinkedIn: https://www.linkedin.com/in/fei-fei-li-4541247/  Fei-Fei’s Twitter: https://twitter.com/drfeifei  Resources Mentioned: Fei-Fei’s Book, The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI: https://www.amazon.com/Worlds-See-Curiosity-Exploration-Discovery-ebook/dp/B0BPQSLVL6   Stanford Human Center AI Institute Website: https://hai.stanford.edu/  LinkedIn Secrets Masterclass, Have Job Security For Life: Use code ‘podcast’ for 30% off at yapmedia.io/course. Sponsored By: Shopify - Sign up for a one-dollar-per-month trial period at youngandprofiting.co/shopify Indeed - Get a $75 job credit at indeed.com/profiting Yahoo Finance - For comprehensive financial news and analysis, visit YahooFinance.com More About Young and Profiting Download Transcripts - youngandprofiting.com Get Sponsorship Deals - youngandprofiting.com/sponsorships Leave a Review - ratethispodcast.com/yap Watch Videos - youtube.com/c/YoungandProfiting   Follow Hala Taha LinkedIn - linkedin.com/in/htaha/ Instagram - instagram.com/yapwithhala/ TikTok - tiktok.com/@yapwithhala Twitter - twitter.com/yapwithhala   Learn more about YAP Media's Services - yapmedia.io/

AI is popping up everywhere nowadays. From medicine to science to the Hollywood strikes. Today, with computer scientist and AI pioneer Fei-Fei Li, we dig deeper into the history of the field, how machines really learn and how computer scientists take inspiration from the human brain in their work. Li's new memoir The Worlds I See traces the history of her move to the U.S. from China as a high school student and her coming-of-age with AI.

Host Regina G. Barber talks to Li about her memoir, where the field may be going and the importance of centering humans in the development of new technology.

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