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ELLIS Workshop: Human-Centric Machine Learning

May 10, 2021

Virtual event (starting at 3pm UK Time)

https://sites.google.com/view/hcml2021


We are excited to invite you to the 2nd ELLIS Workshop on Human-Centric Machine 
Learning<https://sites.google.com/view/hcml2021>! The workshop will take place 
virtually on May 10th from 3pm to 9pm British Summer Time (7am to 1pm Pacific 
Time). Registration is free.


Machine learning systems are increasingly employed to inform and automate 
consequential decisions for humans; however, they usually end up exacerbating 
discrimination, reducing protection with regards to recourse, and diminishing 
or violating people's privacy. These concerns have led to a surge of interest 
in the development of a field that we refer to as Human-Centric Machine 
Learning. This field seeks to minimize the potential harms, risks, and burdens 
of machine learning systems on the public, and at the same time, maximize their 
societal benefits.


This workshop will bring together experts from diverse backgrounds who will 
focus on two main themes: (i) the differential treatment by algorithms of 
historically under-served and disadvantaged communities and (ii) the 
development of machine learning systems to assist humans for better 
performance, rather than replace them. Additionally, the workshop will feature 
a brief presentation and panel discussion on the newly proposed EU Regulation 
on AI.


Registered participants will receive a Zoom link and will be able to pose 
questions to the speakers. The workshop will also be live streamed on YouTube.


Speakers

Kalesha Bullard<https://www.kaleshabullard.com/> (Facebook)

Paidamoyo Chapfuwa<https://paidamoyo.github.io/> (Duke University)

Moritz Hardt<https://mrtz.org/> (University of California, Berkeley)

Eric Horvitz<http://erichorvitz.com/> (Microsoft)

Ece Kamar<https://www.ecekamar.com/> (Microsoft)

Francisco Marmolejo Cossío<https://www.fmarmolejo.com/> (University of Oxford)

Chinasa Okolo<https://www.cs.cornell.edu/~chinasa/> (Cornell University)

Adish Singla<https://machineteaching.mpi-sws.org/adishsingla.html> (Max Planck 
Institute for Software Systems)

Chenhao Tan<https://chenhaot.com/> (University of Chicago)

Fernanda Viégas<http://www.fernandaviegas.com/> (Google)


Organizers

Plamen Angelov<https://angeloventelsensys.wixsite.com/plamenangelov> 
(University of Lancaster)

Umang Bhatt<https://umangsbhatt.github.io/> (University of Cambridge)

Manuel Gomez-Rodriguez<https://people.mpi-sws.org/~manuelgr/> (Max Planck 
Institute for Software Systems)

Himabindu Lakkaraju<https://himalakkaraju.github.io/> (Harvard University)

Nuria Oliver<http://www.nuriaoliver.com/> (DataPop Alliance)

Stratis Tsirtsis<https://stsirtsis.github.io/> (Max Planck Institute for 
Software Systems)

Adrian Weller<http://mlg.eng.cam.ac.uk/adrian/> (University of Cambridge)


Sponsors: ELLIS Society<https://ellis.eu/>, The Alan Turing 
Institute<https://www.turing.ac.uk/>, and Leverhulme Centre for the Future of 
Intelligence<http://lcfi.ac.uk/>
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