Update on October 23 2020: After I wrote this post, i was invited to give a talk on this topic of social impacts & bias of AI at the course <Ethics in AI> by Prof. Alice Oh at KAIST. I’m sharing the slide set here: Unreasonably shallow deep learning [slides]. There have been a series of news articles in Korea about AI and its applications that have been worrying me for sometime. I’ve often ranted about them on social media, but I was told that my rant alone is not enough, because it does not tell others why I ranted about
[this post was originally posted here in March 2020 and has been ported here for easier access.] TL;DR: after all, isn’t $k$-NN all we do? in my course, i use $k$-NN as a bridge between a linear softmax classifier and a deep neural net via an adaptive radial basis function network. until this year, i’ve been considering the special case of $k=1$, i.e., 1-NN, only and from there on moved to the adaptive radial basis function network. i decided however to show them how $k$-NN with $k > 1$ could be implemented as a sequence of computational layers this year,
I am happy to share the news that Cristina Savin and I have been selected to receive the Google Faculty Research Award this year in the area of computational neuroscience with the topic on <Online Meta-Learning>. See https://research.google/outreach/past-programs/faculty-research-awards/ for the list of awardees.
A few weeks ago there was an open house at NYU Center for Data Science intended for faculty members of NYU. As one of the early members of the Center (i know! already!) i was given an opportunity to share why i joined the center and my experience at the Center so far with the audience. although i’m much more familiar with giving a research talk using a set of slides, i decided to try something new and give a talk without any slide. of course, this is totally new to me, and i couldn’t help but prepare a script in advance.
Disclaimer: I received the hard copy of <Rebooting AI> from the publisher, although I had by then purchased the Kindle version of the book myself on Amazon. I only gave a quick look at the book on my flight between UIUC and NYC and wrote this brief note on my flight back to NYC from Chicago. I also felt it would be good to have even a short note by a machine learning researcher to balance all those praises by “Noam Chomsky, Steven Pinker, Garry Kasparov” and others. <Rebooting AI> is a well-written piece (somewhat hastily) summarizing the current state of