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Affinity Workshop
Muslims in ML
Marzyeh Ghassemi · Mohammad Norouzi · Shakir Mohamed · Aya Salama · Tasmie Sarker

Tue Dec 08 07:30 AM -- 11:00 AM (PST) @ None
Event URL: http://www.musiml.org/ »

Muslims In ML (MusIML) is an affinity workshop for the NeurIPS community.

We focus on both the potential for advancement and harm to Muslims and those in Muslim-majority countries who religiously identify, culturally associate, or are classified by proximity, as “Muslim”.

The workshop will run on Tuesday, December 8, 2020 from 10:30AM - 1:30PM EST.

We will feature a combination of pre-recorded and live talks, followed by a panel discussion with authors on the intersection of policy, technology, and Muslim communities.

Author Information

Marzyeh Ghassemi (University of Toronto / Vector Institute)
Mohammad Norouzi (Google Brain)
Shakir Mohamed (DeepMind)
Shakir Mohamed

Shakir Mohamed is a senior staff scientist at DeepMind in London. Shakir's main interests lie at the intersection of approximate Bayesian inference, deep learning and reinforcement learning, and the role that machine learning systems at this intersection have in the development of more intelligent and general-purpose learning systems. Before moving to London, Shakir held a Junior Research Fellowship from the Canadian Institute for Advanced Research (CIFAR), based in Vancouver at the University of British Columbia with Nando de Freitas. Shakir completed his PhD with Zoubin Ghahramani at the University of Cambridge, where he was a Commonwealth Scholar to the United Kingdom. Shakir is from South Africa and completed his previous degrees in Electrical and Information Engineering at the University of the Witwatersrand, Johannesburg.

Aya Salama (Aigorithm Tech)
Tasmie Sarker (University of Toronto)

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