We welcome papers on the following topics, including but not limited to:
Globalizing tasks. Which tasks are understudied or absent in non-English, non-Western contexts, and vice versa? What usage patterns reveal gaps in how present systems were designed?
Evaluation beyond performance. What do standard metrics miss—register, cultural expectation, usability across contexts? How do we move beyond Western-centric benchmarks across text, image, audio, and video?
Data collection and annotation. What data is missing, and how should it be collected? How do annotation standards and evaluation practices need to change across languages and cultures—and who should be involved?
Innovations and vulnerabilities from the world. Can global users’ experiences inform better system design? What new risks do they expose? What can insights from one language or modality teach us about others?
Modeling for global understanding. What does it mean to build a model not bound to any single language or culture—one that understands how cultural context and user identity interact to shape meaning, and helps users bridge contexts without erasing their own? What needs to be done to achieve this?
Interdisciplinary and cross-modal insights. How can advances in one modality inform others? Can bridging NLP, computer vision, audio processing, and the social sciences and humanities inspire new directions?
Submission link: TBA