Muslims in ML

Click here to view the stream, and to join the chat: https://neurips.cc/virtual/2020/protected/affinity_workshop_19591.html

Overview

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.

Invited Speakers

Abubakar Abid Investigating Anti-Muslim Bias in GPT-3 through Words, Images and Stories	Darren Byler The Digital Enclosure of Turkic Muslims in Northwest China
Mona Diab Data Paucity and Low Resource Scenarios: Challenges and Opportunities	Samhaa El-Beltagy NLU Meets Islamic Religious Phrases: Highlighting the Challenges
Anver Emon Taking from the Hands that Give: CRA audits of Muslim-led Charities	Dia Kayyali The Intersection of Policy, Technology, and Muslims
Roya Pakzad The Intersection of Policy, Technology, and Muslims	Ted Pedersen Automatically Identifying Islamophobia in Social Media
Nayel Shafei Creating Multilingual Corpora for Arabic Characterset

Themes

Language and Speech: Many Muslim-majority groups communicate in language that use Arabic character sets, yet there is a gap in learning and machine learning tools that work well in these environments. The following invited talks consider potential solutions such as extending resources to include Arabic character sets to decrease disparity in Arabic-speaking groups.

• Abubakar Abid: Investigating Anti-Muslim Bias in GPT-3 through Words, Images, & Stories
• Nayel Shafei: Creating Multilingual Corpora for Arabic Characterset
• Mona Diab: Data Paucity and Low Resource Scenarios: Challenges and Opportunities
• Samhaa El-Beltagy: NLU Meets Islamic Religious Phrases: Highlighting the Challenges

Algorithmic Bias: These invited talks explore how technology is used to identify ways in which algorithms and models are used to discriminate against Muslim individuals and communities in different contexts.

• Anver Emon - Taking from the Hands that Give: CRA audits of Muslim-led Charities
• Ted Pedersen - Automatically Identifying Islamophobia in Social Media
• Darren Byler - The Digital Enclosure of Turkic Muslims in Northwest China

Schedule

All times in EST.