Andrew Ng and Fei-Fei Li Discuss Human-Centered Artificial Intelligence - Stanford Online

Earlier this year Andrew Ng sat down with Professor Fei-Fei Li to discuss the past and present state of Artificial Intelligence, and some of the "audacious questions" still to be answered. If you would like to get started in AI, the new Coursera Machine Learning Specialization developed by Stanford Online and DeepLearning.AI is the perfect place to start. Learn more 👉 stanford.io/3HEj56q
0:00 Introduction
1:23 Fei-Fei Li Background
8:40 Vision for AI
11:47 ImageNet
16:36 CalTech 101 Dataset
21:06 Fei-Fei's work in healthcare
27:39 Educating Legislators
32:10 Advice for people getting started in AI and Machine Learning
37:17 AI4ALL
40:55 Final Thoughts

[@skane3109]

Thank you Fei Fei Li for sharing your personal story and for your work in human centered ai. As you both mention, there are countless ways and countless accessible resources for anyone to get involved with AI. CZcams & Coursera for example.

[@Andre-mi6fk]

I love hearing the immigrant stories. The US is still a beacon of hope for millions of people across the world and we come here with one goal in mind, improve our lives. Optimize for making sure every step is towards a better life (most often measured by education, money, professional success, and family well-being).

[@CJ-sg3fc]

Andrew Ng is such a good man.

[@webgpu]

"good" is a very encompassing adjective, so you haven't said much, as almost all men are also "good men".

[@jesusretto5005]

What a motivating conversation between these two great scientific researchers.

[@buckyzona]

onto week 3 of Supervised Machine Learning: Regression and Classification. Great course

[@user-ox9wq1gj5k]

Watching cs231n lecture with Fei Fei Li back in 2016 was amazing. Thanks for posting this conversation!

[@stanfordonline]

Awesome, thanks for your comment!

[@shoaibasif12]

It was lovely to hear the conversation of two great and impactful scientists! ❤❤❤

[@erikals]

00:06 Andrew Ng introduces Fei-Fei Li, professor of computer science at Stanford and co-director of HAI
01:30 Fei-Fei Li's transition from physics to AI and her passion for probing intelligence.
05:20 Fei-Fei Li and Andrew Ng seek intelligence principles akin to flight laws
08:35 The evolving field of AI, drawing parallels with the progression of other sciences like physics and biology.
12:23 Fei-Fei Li explains the origin of the Caltech 101 dataset and its role in advancing computer vision research.
18:03 Fei-Fei Li's vision for ImageNet and the importance of starting with smaller projects before tackling larger, impactful ones.
20:27 The significance of being driven by an audacious goal in research and not just incremental publication pressures.
22:19 Fei-Fei Li on healthcare, medical errors, and the crucial role of AI.
25:11 Privacy preservation in AI for healthcare and the technological tools available to address privacy concerns.
26:40 The evolving ML tech landscape driven by privacy and ethics in healthcare AI.
27:09 Consumers are becoming more knowledgeable about privacy and holding AI accountable for ethical behavior.
28:08 Stanford is playing a historical role in advancing AI with a focus on human-centered AI education, research, and policy.
30:56 Stanford's role in the National AI Research Resource Bill to boost AI resources for higher education and innovation.
32:20 AI offers diverse entry points, from technical to non-technical backgrounds, with abundant online resources.
37:36 AI4ALL, initiated by Fei-Fei Li, encourages underrepresented students to learn AI and offers pathways to AI careers.
40:55 AI is a nascent field with numerous opportunities for young people to learn, contribute, and shape its future.
[ai summary]

[@forresthu6204]

two great minds of nowadays.

[@mollyfreeman7446]

Would be wonderful for Fei-Fei Li and Andrew Ng to work with the Center for Humane Technology as well as with the Stanford based authors of System Error: Where the Tech Industry went wrong and how to Reboot! And to consider conducting extensive research on potential unintended consequences of the tools they create before the tools are deployed on the rest of us.

[@kamiritech]

Having the two great scientists at the same table is like having an encyclopedia of A.I

[@xehaytecle932]

Very good explanation and update the realty of A.I

[@stanfordonline]

Hi Xehay, thanks for your comment and feedback!

[@bhaskardam5399]

Sound is very low.

[@prafulsrmavlogs]

❤ 0:35

[@erikals]

[info, audio is a bit low]

[@jonathanr4242]

One image, and that image was Lena

[@ChristianBloomer-er8wj]

⬅⭐

[@STEM671]

A I A : PRE CONSIDER I AS 9 × 13 IDENTITY MATRIX