Episode
#93 – Daphne Koller: Biomedicine and Machine Learning
1:12:31
Published: Tue May 05 2020
Description
Daphne Koller is a professor of computer science at Stanford University, a co-founder of Coursera with Andrew Ng and Founder and CEO of insitro, a company at the intersection of machine learning and biomedicine. Support this podcast by signing up with these sponsors: – Cash App – use code “LexPodcast” and download: – Cash App (App Store): https://apple.co/2sPrUHe – Cash App (Google Play): https://bit.ly/2MlvP5w EPISODE LINKS: Daphne's Twitter: https://twitter.com/daphnekoller Daphne's Website: https://ai.stanford.edu/users/koller/index.html Insitro: http://insitro.com This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts, follow on Spotify, or support it on Patreon. Here's the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time. OUTLINE: 00:00 - Introduction 02:22 - Will we one day cure all disease? 06:31 - Longevity 10:16 - Role of machine learning in treating diseases 13:05 - A personal journey to medicine 16:25 - Insitro and disease-in-a-dish models 33:25 - What diseases can be helped with disease-in-a-dish approaches? 36:43 - Coursera and education 49:04 - Advice to people interested in AI 50:52 - Beautiful idea in deep learning 55:10 - Uncertainty in AI 58:29 - AGI and AI safety 1:06:52 - Are most people good? 1:09:04 - Meaning of life
Chapters
In this episode, Lex Friedman interviews Daphne Koller, a professor of computer science at Stanford University and the founder of Incytro, about the intersection of machine learning and biomedicine, as well as her work with the online learning platform Coursera.
00:00 - 02:41 (02:41)
Summary
In this episode, Lex Friedman interviews Daphne Koller, a professor of computer science at Stanford University and the founder of Incytro, about the intersection of machine learning and biomedicine, as well as her work with the online learning platform Coursera.
Episode#93 – Daphne Koller: Biomedicine and Machine Learning
PodcastLex Fridman Podcast
As the risk for contracting most diseases increases with age, fighting disease and aging can be challenging.
02:41 - 10:11 (07:29)
Summary
As the risk for contracting most diseases increases with age, fighting disease and aging can be challenging. Furthermore, curing diseases becomes challenging as a lot of damage may have already occurred by the time the disease is discovered.
Episode#93 – Daphne Koller: Biomedicine and Machine Learning
PodcastLex Fridman Podcast
Scientists hope that by reverting the cells in which a genetic disease begins and is driven by genetics to a healthy state, it could also revert the global clinical phenotypes of a disease.
10:11 - 27:26 (17:15)
Summary
Scientists hope that by reverting the cells in which a genetic disease begins and is driven by genetics to a healthy state, it could also revert the global clinical phenotypes of a disease. This could potentially help combat the genetic burden of diseases in people with higher variations in their genome.
Episode#93 – Daphne Koller: Biomedicine and Machine Learning
PodcastLex Fridman Podcast
The emergence of microarrays helped in measuring biology in quantitative ways, particularly in determining the expression level of every gene in the genome from a single experiment, which was later used to improve the quality of instruction at Stanford by moving to the flipped classroom model.
27:26 - 42:40 (15:13)
Summary
The emergence of microarrays helped in measuring biology in quantitative ways, particularly in determining the expression level of every gene in the genome from a single experiment, which was later used to improve the quality of instruction at Stanford by moving to the flipped classroom model.
Episode#93 – Daphne Koller: Biomedicine and Machine Learning
PodcastLex Fridman Podcast
As traditional education cannot keep up with the rapidly changing world, people will consume more and more educational content in online formats.
42:40 - 50:02 (07:21)
Summary
As traditional education cannot keep up with the rapidly changing world, people will consume more and more educational content in online formats. While online education can supplement in-person learning, it is unlikely to completely replace the latter.
Episode#93 – Daphne Koller: Biomedicine and Machine Learning
PodcastLex Fridman Podcast
The speaker encourages deep learning enthusiasts not to skip the foundational learning of machine learning as it can limit innovation and result in incorrect applications, especially in complex systems like medical diagnosis.
50:02 - 58:43 (08:41)
Summary
The speaker encourages deep learning enthusiasts not to skip the foundational learning of machine learning as it can limit innovation and result in incorrect applications, especially in complex systems like medical diagnosis.
Episode#93 – Daphne Koller: Biomedicine and Machine Learning
PodcastLex Fridman Podcast
As AI systems become more intelligent, it's important for them to have self-doubt to maintain human control and supervision over their actions.
58:43 - 1:10:37 (11:53)
Summary
As AI systems become more intelligent, it's important for them to have self-doubt to maintain human control and supervision over their actions. Society should also create social norms that encourage doing good and being perceived well by peers to ensure AI is ultimately used for good.
Episode#93 – Daphne Koller: Biomedicine and Machine Learning
PodcastLex Fridman Podcast
The speaker acknowledges that they were born with privilege through having a loving family and access to great education, and recognizes that the burden to use this privilege for good is greater for those who were born into it.
1:10:37 - 1:12:08 (01:30)
Summary
The speaker acknowledges that they were born with privilege through having a loving family and access to great education, and recognizes that the burden to use this privilege for good is greater for those who were born into it.