Socials
SomosNLP at NeurIPS: Building Principles for Inclusive Spanish & Portuguese NLP
Helena Gomez Adorno
SomosNLP at NeurIPS: Building Principles for Inclusive Spanish & Portuguese NLP This social aims
to create a space for academic and technical reflection on the challenges of developing Natural Language
Processing (NLP) for languages beyond English, with a special focus on Spanish and Portuguese. We
propose a forum to debate methodological, conceptual, and practical tensions, specifically: • How
benchmarks and datasets shape progress in non-English NLP.
• What biases and omissions today’s AI ecosystem imposes.
• What strategies can advance inclusive, multilingual NLP.
• How to navigate tensions between industry-driven approaches (fast, large-scale, performance-oriented)
and community/academia-driven approaches (careful, linguistically grounded).
The event aligns with NeurIPS’ mission by broadening participation, fostering diversity, and enabling
global collaboration across academia, industry, and community-driven initiatives.
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Women in AI Social -- Amplifying Voices in AI
Hanan Salam
The “Women in AI Social – Amplifying
Voices in AI” is an interactive community event
designed to foster meaningful connections, peer
dialogue, and collective reflection among women and
allies in the AI research ecosys tem. The event
embraces inclusive, participatory formats, such as
rotating roundtables, speed networking, and creative
group activities, that center the voices of all attendees.
With a focus on mentorship, inclusion, and global-local
per spectives (especially from Latin America), the event
invites participants to share experiences, build
supportive networks, and envision a more equitable AI
future. It is open to all registered NeurIPS CDMX
participants, regardless of gender or career stage, and
culminates in an optional post-event dinner or social
outing to continue the conversations in an informal
setting.
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Claiming Your True Market Value as an AI Researcher - Negotiation Workshop & Fireside Chat
Nicole Bannon
As AI reshapes industries, compensation is changing faster than researchers can track. New
labs, startups, and top companies are competing for talent with vastly different pay structures, currencies,
and cultural norms. Yet most researchers are never formally taught how to understand their worth or
navigate these systems. The result is an uneven landscape where brilliant minds often make life-changing
decisions without the information they need.
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