Event PAST

🗣  Fei-Fei Li: one of the most influential voices in artificial intelligence

18 December Online

About this event

đź—Ł Fei-Fei Li: one of the most influential voices in artificial intelligence | SFPL

▪︎ Meet at 5:15 sharp at the entrance of the Latino Meeting Room (downstairs) in the Main Library
▪︎ Seating for this event will fill up quickly
▪︎ PLEASE don't be a no-show. If your plans change, remember to update your RSVP prior to the event.
▪︎ A late cancelation will count as a no-show.

🔆 Discover the story behind San Francisco’s 2025 One City One Book selection, The Worlds I See, as Dr. Fei-Fei Li sits down with technology journalist Adam Lashinsky.

In her book The Worlds I See, visionary computer scientist Li shares her remarkable journey from a childhood in China to becoming one of the most influential voices in artificial intelligence. As a teenager immigrating to the U.S. with her parents, Li faced the hardships of poverty, cultural displacement, and uncertainty—experiences that instilled in her a profound empathy and determination. Through education and relentless curiosity, she rose to shape the future of AI, becoming a trailblazer in a field often lacking in diversity. Li's memoir blends her personal story with insights into the scientific process, showing how her life experiences shaped her belief that technology must serve humanity.

Woven throughout the book are powerful themes of immigration, identity, mentorship and the ethical responsibilities of innovation. Li makes a passionate case for building technology with care, inclusion, and compassion, and she warns against the dangers of allowing AI to be driven solely by profit or power. Her reflections are both candid and hopeful, urging readers to consider not just what technology can do, but what it should do. The Worlds I See is a moving, thought-provoking memoir that invites readers to imagine a future where science and human values grow together.

Dr. Fei-Fei Li is the Sequoia Professor in the Computer Science Department at Stanford University and Co-Director of Stanford’s Human-Centered AI Institute. She previously led Stanford’s AI Lab and served as Vice President at Google, where she was Chief Scientist of AI/ML at Google Cloud. She is also Co-founder and CEO of World Labs, an AI company focused on spatial intelligence and generative AI.

Read more here:
https://sfpl.org/events/2025/12/17/author-dr-fei-fei-li-conversation-adam-lashinsky

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 DevFound.ai. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.