[CMU AI Seminar] May 11 at 12pm (Zoom) -- Jon Kleinberg (Cornell) -- Aligning Superhuman AI with Human Behavior: Chess as a Model System -- AI Seminar sponsored by Fortive

[Shaojie Bai]

Dear all,

Just a reminder that we are meeting tomorrow (*5/11 Tuesday*) at *12pm* for
the CMU AI Seminar with *Jon Kleinberg (Cornell)*.

Jon will share (and is very excited about) some of his latest research on
using chess as a model system to study algorithmic and human behavior for
problem-solving. See more information about the talk at:
http://www.cs.cmu.edu/~aiseminar/abstract/21-05-11.html

*Zoom Link*:
https://cmu.zoom.us/j/98138716931?pwd=TmUyWjlTSnZsbEtvTjd3OGVXUXNzZz09
<https://www.google.com/url?q=https://cmu.zoom.us/j/98138716931?pwd%3DTmUyWjlTSnZsbEtvTjd3OGVXUXNzZz09&sa=D&source=calendar&ust=1620620634218000&usg=AOvVaw0uYZqBAG-_e0ZznJNuLFJl>


Best,
Shaojie

On Thu, May 6, 2021 at 6:36 PM Shaojie Bai <shaojieb at andrew.cmu.edu> wrote:

> Dear all,
>
> We look forward to seeing you *next Tuesday (5/11)* from *1**2:00-1:00 PM
> (U.S. Eastern time)* for the next talk of our *CMU AI seminar*, sponsored
> by Fortive <https://careers.fortive.com/>.
>
> 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 5/11, the Winner of 2007 ACM Prize in Computing *Jon Kleinberg* (Cornell
> University) will be giving a talk on "*Aligning Superhuman AI with Human
> Behavior: Chess as a Model System*".
>
> *Title*: Aligning Superhuman AI with Human Behavior: Chess as a Model
> System
>
> *Talk Abstract*: In domains where AI systems have achieved superhuman
> performance, there is an opportunity to study the similarities and
> contrasts between human and AI behaviors at the level of granular actions,
> not just aggregate performance. Such an analysis can yield several
> potential sources of insight. First, by studying expert-level human
> performance through the lens of systems that far surpass this performance,
> we can try to characterize the settings in which human errors are most
> likely to occur. Second, we can try to adapt high-performing AI systems to
> match human behavior as closely as possible at an action-by-action level,
>
> We pursue these goals in a domain with a long history in AI: chess. For
> our purposes, chess provides a domain with many different levels of human
> expertise, together with data from hundreds of millions of online games
> that each record a specific decision together with its context. However,
> applying existing chess engines to this data, including an open-source
> implementation of AlphaZero, we find that they do not predict human moves
> well.
>
> We develop new methods for predicting human decisions at a move-by-move
> level much more accurately than existing engines, and in a way that is
> tunable to fine-grained differences in human skill. From this, we discover
> aspects of chess positions that serve as predictors of human error, as well
> as algorithms that are able to operate in this domain in a more
> "human-like" way. One of our algorithms, the Maia chess engine, can be
> tried at lichess.org (https://lichess.org/@/maia1), where it has played
> over 300,000 games to date with users of the platform.
>
> *Speaker Bio*: Jon Kleinberg is the Tisch University Professor in the
> Departments of Computer Science and Information Science at Cornell
> University. His research focuses on the interaction of algorithms and
> networks, the roles they play in large-scale social and information
> systems, and their broader societal implications. He is a member of the
> National Academy of Sciences and the National Academy of Engineering, and
> the recipient of MacArthur, Packard, Simons, Sloan, and Vannevar Bush
> research fellowships, as well awards including the Harvey Prize, the
> Nevanlinna Prize, and the ACM Prize in Computing.
>
> *Zoom Link*:
> https://cmu.zoom.us/j/98138716931?pwd=TmUyWjlTSnZsbEtvTjd3OGVXUXNzZz09
> <https://www.google.com/url?q=https://cmu.zoom.us/j/98138716931?pwd%3DTmUyWjlTSnZsbEtvTjd3OGVXUXNzZz09&sa=D&source=calendar&ust=1620620634218000&usg=AOvVaw0uYZqBAG-_e0ZznJNuLFJl>
>
>
> Thanks,
> Shaojie Bai (MLD)
>
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