{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"Dr. Fei-Fei Li: The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI","description":"In this episode of Capital for Good we speak with Dr. Fei-Fei Li, the Sequoia Professor of Computer Science at Stanford and the Denning Co-Director of Stanford\u2019s Human Centered AI-Institute. Dr. Li has been called the godmother of artificial intelligence and has emerged as one of the country\u2019s leading scientists \u2014 and humanists. She is also the author of the new book, The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI.&amp;nbsp; We begin by discussing how and why Li employs a \u201cdouble helix\u201d structure in her book to tell two interlacing stories: the evolution of a new field of science and her own coming of age as a scientist. Together, they form an homage to the intellectual foundations of her work, and to the teachers, mentors, and family members whose sacrifices made her work possible. We explore how the very act of writing the book serves to introduce an underrepresented voice \u2014 that of a woman, an immigrant, a person of color \u2014 into the world of artificial intelligence and science more broadly. Li believes strongly that \u201cprogress and discovery come from every corner,\u201d and throughout her career has worked towards \u201clifting all walks of life.\u201d In explaining just what she means by \u201chuman centered AI,\u201d Li explains that there is \u201cnothing artificial about artificial intelligence.\u201d As a \u201ctool made by and for people,\u201d she argues AI should be used to make people\u2019s lives work better. Li describes any number of extraordinary and beneficial applications of AI, including those in neuroscience, the social and political sciences, business, education, climate change, and health care, from research drug discovery to diagnosis, treatment, and delivery. We also touch on some of the major risks of AI. While Li believes it is important to examine the longer term and potentially existential threats of AI \u2014 the current and popular pre-occupation with sentience and machine overlords \u2013 she is more concerned with the technology\u2019s urgent (and potentially catastrophic) social risks: significant biases in data and algorithms, issues of privacy, the problems of misinformation and disinformation, and the profound and uneven economic disruptions that the technology can bring about. \u201cAI can grow the global pie of productivity,\u201d Li says, \u201cbut there is a difference between increased productivity and shared prosperity.\u201d Li also warns of severe levels of underinvestment by the public sector in AI. She has worked closely with the state of California, the federal government, and the UN to encourage more of a \u201cmoonshot\u201d mentality when it comes to resources for blue sky innovation, and for the development of governance and guardrails essential for public safety and trust. Li concludes by encouraging others to follow their own North Stars. \u201cMy North Star hasn\u2019t changed, it is still AI, but it is the science with an expanded aperture: the greater North Star of doing good that is human centered.\u201d&amp;nbsp; Thanks for Listening! Subscribe to Capital for Good\u202fon\u202fApple,\u202fAmazon,\u202fGoogle,\u202fSpotify, or wherever you get your podcasts. Drop us a line at\u202fsocialenterprise@gsb.columbia.edu.&amp;nbsp; Mentioned in this Episode   The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI Stanford University Human Centered AI Institute AI4All  ","author_name":"Capital for Good","author_url":"http:\/\/tamerinstitute.libsyn.com\/website","html":"<iframe title=\"Libsyn Player\" style=\"border: none\" src=\"\/\/html5-player.libsyn.com\/embed\/episode\/id\/29664623\/height\/90\/theme\/custom\/thumbnail\/yes\/direction\/forward\/render-playlist\/no\/custom-color\/88AA3C\/\" height=\"90\" width=\"600\" scrolling=\"no\"  allowfullscreen webkitallowfullscreen mozallowfullscreen oallowfullscreen msallowfullscreen><\/iframe>","thumbnail_url":"https:\/\/assets.libsyn.com\/secure\/content\/166869108"}