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EAAMO has a new home - @EAAMO_ORG!
All information about the conference and other activities related to our organization will be communicated via @EAAMO_ORG - follow us to stay in touch. This handle will be retired shortly.
More about ACM EAAMO 2024: conference.eaamo.org/
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One of our first important announcements is the Call for Participation for the ACM EAAMO Conference 2024, which will be taking place in Mexico!
The Paper Submission Deadline is April 15, 2024 (AoE) - don't miss your chance to attend!
CfP 📎 : conference.eaamo.org/cfp/
ALT EAAMO Conference 2024
Call for Participation
29 October - 31 October
San Luis Potosi, Mexico
They shared best practices and case studies that showcase the power of effective partnerships and research for social good. 🌍 #ResearchForImpact
Part 2 📽️: youtu.be/ZfCBb-C7QQE?si=b4Ml…
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At #EAAMO23, Yeukai Chideya gave a keynote talk about “Restoring the Dignity of People in Crisis” in which she emphasized the importance of collective action in alleviating the suffering of asylum seekers and refugees.
📽️: youtu.be/bUPWyLbppow?si=lBdk…
The Labor & Money Session at #EAAMO23 saw four amazing papers on the first day of the conference.
You can now watch all presentations on YouTube!
📽️: youtube.com/playlist?list=PL…
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At #EAAMO23, Prof. Ridhi Kashyap (@ridhikash07) presented a keynote talk titled “The Digital Revolution and Gender Inequality”.
A recording of the talk is now up on YouTube!
📹: youtu.be/GOMZSNMo8Ic?si=l9-T…
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A bit late; I had an amazing time at @ACMEAAMO 2023!!! Met a lot of cool people including : @HyemiKim0308, @sid_devic, @cc_jalvarez, @em__black !!
Looking forward to NeurIPS’23 in a few weeks (we are presenting a tutorial on “AI Governance and Accountability” on Dec 11th)!!
This paper looks at the AIID as an Educational Tool. Read the paper to learn how it raises awareness about AI harms and encourages responsible AI development.
The fourth paper is The AI Incident Database as an Educational Tool to Raise Awareness of AI Harms: A Classroom Exploration of Efficacy, Limitations, & Future Improvements presented by Michael Feffer #EAAMO23
ALT The AI Incident Database as an Educational Tool to Raise Awareness of AI Harms: A Classroom Exploration of Efficacy, Limitations, & Future Improvements
Our community at @ACMEAAMO and EAAMO Bridges (the new name of @MD4SG) is in such good hands under the care, creativity, brilliance, and capable execution of Sera Linardi.
We’re so fortunate and grateful to welcome Sera in as our inaugural Executive Director!
Much to come!
I'm so honored to be the 1st Executive Director of EAAMO.
My life goal: help math/computing ppl support the efforts of underserved communities. @MD4SG in 2018 gave me hope & friends.
🙏🏽founders Rediet Abebe @kiragoldner
🙏🏽@PittTweet leaders @cschively @colaresi
🙏🏽@caasiPitt
🌐 This paper shows how content curation model ensures diverse content recommendations for users and how to make sure everyone's interests are represented while avoiding "tyranny of the majority" #DiverseContent
The #EAAMO2023 Conference held at @BostonUniv has been enriched by the active participation of 20 young female scholars & students from Mexican indigenous communities who have shared their community-based projects. Great effort of @MD4SG, @Rednacecyt & @fjmarmole.
@afierrog
The fourth paper is The AI Incident Database as an Educational Tool to Raise Awareness of AI Harms: A Classroom Exploration of Efficacy, Limitations, & Future Improvements presented by Michael Feffer #EAAMO23
ALT The AI Incident Database as an Educational Tool to Raise Awareness of AI Harms: A Classroom Exploration of Efficacy, Limitations, & Future Improvements
📊 The AI Incident Database can make a difference. Read the paper to learn how it raises awareness about AI harms and encourages responsible AI development🧠 #EthicalAI
The next talk will be an awarded paper 30 Million Canvas Records Reveal Widespread Sequential Bias and System-design Induced Surname Initial Disparity in Grading by Jiaxin Pei, Zhihan Wang and Jun Li #EAAMO23
ALT 30 Million Canvas Records Reveal Widespread Sequential Bias and System-design Induced Surname Initial Disparity in Grading
🎓 This study reveals a grading bias that affects millions of students. Join us to learn how it impacts learning and what we can do about it. 📚 #EqualityInEducation
The second talk of the session is FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks by Kiarash Mohammadi, Aishwarya Sivaraman and Golnoosh Farnadi #EAAMO23
ALT FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks
🧠 Neural networks may impact our lives, but being fairness is important as well. This paper tackles individual fairness in AI models. Discover a new technique to ensure fairness during predictions, guaranteeing it for all data points! 🤝 #AIForGood