LatinX in AI Social at AAAI 2022

LatinX in AI (LXAI) is hosting a social to connect LatinX identifying AI Researchers and Engineers following the Conference on Association for the Advancement of Artificial Intelligence taking place February 22nd - March 1st, 2022.

*Registration to AAAI is not required to attend our social*

REGISTRATION

LatinX in AI (LXAI) would like to extend as much effort as we can to connect all members of the community and we would like to run a video slide of each attendee of the LatinX in AI Social @ AAAI 2022. The video slide will have information like names, title, affiliation, research paper, and/or Google scholar link or website link where other members can contact you for collaboration or simply to get acquainted with your background.

Please see the instructions here, on how to create your video slide. Note that this is not mandatory but it would be nice if you can provide as much information as you can to reach the organization’s goal for members to be able to connect.

 

Mission

This LatinX in AI (LXAI) social is aimed at LatinX individuals working on or interested in AI with a goal to increase the visibility of researchers of LatinX origin. Those already working in AI will have the opportunity to connect with fellow LatinX and make their own work known, while those new to the field will benefit from the scientific exchange, guidance, and advice of researchers with the same background. Participants will be able to engage in discussions about AI (formal and informal) and to share their thoughts on how to increase the presence of LatinX in AI.

During this social, we’ll feature invited talks from prominent LatinX in AI community members and host roundtable discussions facilitating conversations among attendees.

Keynote Speakers

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Roundtable Discussions


We’ll be hosting roundtables via the Gather.town space and facilitating these discussions in English, Spanish, and Portuguese to accommodate the native languages of our community members.

Topics

  • Computer Vision

  • Deep Learning

  • Reinforcement Learning

  • Research in Latam

  • Differences between Industry and Academia for R&D, ethics, data resource availability

 ORGANIZERS

Social Chairs:

  • Pablo Samuel Castro - Staff Research Software Developer, Google

  • Estefanía Talavera Martínez - Assistant Professor, University of Twente

  • Javier Gonzalez-Sanchez - Faculty, Arizona State University

  • Maria Elena Chavez-Echeagaray - Lecturer, Arizona State University

  • Maria Luisa Santiago - Program Coordinator, Accel.ai

  • Laura Montoya - Executive Director, Accel AI Institute, President, LatinX in AI (LXAI)

Become an LXAI Member Today!