Latinx in AI

Latinx in AI
Name	Latinx in AI
Formation	2017
Type	Nonprofit
Headquarters	San Francisco
Region served	United States, Latin America

Latinx in AI is a community organization founded to increase Latinx participation in artificial intelligence through mentorship, research, advocacy, and convening. The group connects researchers, engineers, students, and policymakers across institutions to address disparities in representation and influence within the field of AI. Its activities span conferences, workshops, fellowships, and collaborations with academic, corporate, and nonprofit partners.

History and demographics

Latinx in AI emerged in 2017 amid a broader set of affinity groups responding to demographic imbalances in tech and science, joining contemporaries such as Black in AI, Women in Machine Learning, and Queer in AI. Early growth paralleled expansion of AI hubs including Silicon Valley, New York City, and research centers at Massachusetts Institute of Technology, Stanford University, and Carnegie Mellon University. Membership demographics reflect students and professionals from Latin American countries like Mexico, Colombia, Brazil, and Argentina, as well as diasporic communities in United States regions such as California and Texas. Events and chapters have also engaged participants from institutions such as University of California, Berkeley, University of Washington, and University of Cambridge.

Contributions and notable figures

Members and allies of Latinx in AI have included academics, industry researchers, and practitioners affiliated with organizations like Google Research, DeepMind, Facebook AI Research, Microsoft Research, OpenAI, and IBM Research. Notable contributors include scholars and engineers who have published at venues such as NeurIPS, ICML, CVPR, and ACL and who have affiliations with universities including Stanford University, Massachusetts Institute of Technology, Harvard University, Princeton University, and University of California, Berkeley. Community leaders have partnered with foundations like the Ford Foundation and institutions such as the National Science Foundation to support fellowships and workshops. Activists and researchers associated with the organization have engaged in public dialogues alongside figures from ACLU, Electronic Frontier Foundation, and Human Rights Watch.

Academic and industry participation

Latinx in AI members pursue graduate programs at departments and labs such as MIT Computer Science and Artificial Intelligence Laboratory, Stanford Artificial Intelligence Laboratory, Berkeley AI Research Lab, and Carnegie Mellon School of Computer Science. Industry participation spans roles at companies including Amazon Web Services, Apple, NVIDIA, Intel Labs, and Salesforce Research. Collaborations have connected the community to conferences organized by Association for Computing Machinery, Institute of Electrical and Electronics Engineers, and program committees for NeurIPS and ICML. Student chapters coordinate with universities like Columbia University, New York University, UCLA, and University of Texas at Austin to run workshops, hackathons, and mentorship programs.

Challenges and barriers

Community analyses highlight barriers familiar to underrepresented groups in STEM including pipeline leaks at undergraduate and graduate transitions, visa and immigration constraints affecting researchers from countries such as Venezuela and Honduras, and recruitment practices within corporations headquartered in regions like Silicon Valley and Seattle. Structural issues intersect with funding disparities from agencies such as the National Institutes of Health and the National Science Foundation and with publication access at venues like NeurIPS and ACL. Members also cite workplace retention challenges at firms including Meta Platforms and Google and difficulties navigating tenure systems at institutions such as University of California, Berkeley and Princeton University.

Initiatives and organizations

Latinx in AI runs fellowships, mentorship networks, and conference scholarships, often coordinating with organizations such as Black in AI, Women in Machine Learning, Queer in AI, AI Now Institute, Partnership on AI, and Data & Society Research Institute. Partner programs have been hosted in collaboration with universities like Stanford University and Massachusetts Institute of Technology and supported by corporate partners including Google, Microsoft, and NVIDIA. Regional chapters and allied groups operate in cities such as San Francisco, Los Angeles, Chicago, and Mexico City, and coordinate outreach with community organizations like CODE2040 and LatinoJustice PRLDEF.

Impact on AI ethics and policy

Members contribute to discourse on fairness, accountability, transparency, and harm reduction through participation in policy forums like panels convened by United Nations, consultations with regulators in European Union contexts, and testimony before legislative bodies such as state legislatures in California and federal committees in the United States Congress. Collaborations with research centers including the Berkman Klein Center, Leverhulme Centre for the Future of Intelligence, and AI Now Institute have amplified perspectives on algorithmic bias, surveillance impacts, and data governance affecting communities in Latin America and diasporic populations. Contributions inform standards and best practices promoted by bodies like the IEEE and the National Institute of Standards and Technology.

Representation in media and outreach programs

Latinx in AI members engage with media outlets including The New York Times, The Washington Post, Wired, MIT Technology Review, and BBC News to raise visibility of Latinx researchers and technologists. Outreach includes community workshops, panels at conferences such as NeurIPS and ICML, and local programs in partnership with cultural institutions like Smithsonian Institution-affiliated centers and city-based community centers in San Francisco and Los Angeles. Educational outreach connects with programs at schools and nonprofits including Khan Academy collaborations and university pre-college pipelines at Columbia University and University of California, Berkeley.

Category:Artificial intelligence