[CMU AI Seminar] Mar 30 at 2pm (Zoom) -- Been Kim (Google Brain) -- AI Interpretability: the Past, Present and Future -- AI Seminar sponsored by Fortive

[Shaojie Bai]

Dear all,

Hi all,

*NOTE*: This seminar is tomorrow at *2pm*, not the usual 12pm (due to a
faculty job talk at 12pm).

Just a reminder that the CMU AI Seminar <http://www.cs.cmu.edu/~aiseminar/> is
tomorrow *2pm-3pm*:
https://cmu.zoom.us/j/92759487765?pwd=Zzl4Ui9LU0cwMFdRTkYyZDdZQ2MyQT09.

Been Kim (Google Brain) will be talking about her visions on Explainable AI.

Thanks,
Shaojie

On Wed, Mar 24, 2021 at 2:48 PM Shaojie Bai <shaojieb at andrew.cmu.edu> wrote:

> Dear all,
>
> We look forward to seeing you *next Tuesday (3/30)* from *2:00-3:00 PM
> (U.S. Eastern time)* for the next talk of our *CMU AI seminar*, sponsored
> by Fortive <https://careers.fortive.com/>. (Note: not the usual 12pm!)
>
> To learn more about the seminar series or see the future schedule, please
> visit the seminar website <http://www.cs.cmu.edu/~aiseminar/>.
> <http://www.cs.cmu.edu/~aiseminar/>
>
> On 3/30, *Been Kim* (Google Brain) will be giving a talk on "*AI
> Interpretability: the Past, Present and Future*."
>
> *Title*: AI Interpretability: the Past, Present and Future
>
> *Talk Abstract*: Interpretable machine learning has been a popular topic
> of study in the past many years. But are we making progress? In this talk,
> I will talk about my reflections on the progress by taking a critical look
> at some of the existing methods, and discussing series of user-centric
> methods that can "speak" the user's language, rather than the computer's
> language.
>
> *Speaker Bio*: Been Kim is a staff research scientist at Google Brain.
> Her research focuses on improving interpretability in machine learning by
> building interpretability methods for already-trained models or building
> inherently interpretable models. She gave a talk at the G20 meeting in
> Argentina in 2019. Her work TCAV received UNESCO Netexplo award, was
> featured at Google I/O 19' and in Brian Christian's book on "The Alignment
> Problem". Been has given keynote at ECML 2020, tutorials on
> interpretability at ICML, University of Toronto, CVPR and at Lawrence
> Berkeley National Laboratory. She was a co-workshop Chair ICLR 2019, and
> has been an area chair/senior area chair at conferences including NeurIPS,
> ICML, ICLR, and AISTATS. She received her Ph.D. from MIT.
>
> *Zoom Link*:
> https://cmu.zoom.us/j/92759487765?pwd=Zzl4Ui9LU0cwMFdRTkYyZDdZQ2MyQT09
>
>
> Thanks,
> Shaojie Bai (MLD)
>
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