Dagstuhl Seminar 25022
Towards a Multidisciplinary Vision for Culturally Inclusive Generative AI
( Jan 06 – Jan 09, 2025 )
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https://www.dagstuhl.de/25022
Organizers
- Asia Biega (MPI-SP - Bochum, DE)
- Georgina Born (University College London, GB)
- Fernando Diaz (Carnegie Mellon University - Pittsburgh, US)
- Mary L. Gray (Microsoft New England R&D Center - Cambridge, US)
- Rida Qadri (Google - San Francisco, US)
Contact
- Michael Gerke (for scientific matters)
- Jutka Gasiorowski (for administrative matters)
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- Dagstuhl Materials Page (Use personal credentials as created in DOOR to log in)
Schedule
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Generative AI systems are rapidly being integrated into global systems of cultural communication, consumption, and production. As these technologies shape our cultures, we urgently need conceptual foundations for investigating the cultural inclusivity of generative AI pipelines (from data collection, to model development and deployment, to evaluation), as well as methods to study the varying societal and cultural impacts of generative AI.
This Dagstuhl Seminar wants to bring together scholars and practitioners from computer science, social sciences, the tech industry, and creative industries to discuss the cultural implications of generative AI and find paths toward building generative AI that can be responsive to the diverse needs of individuals, groups, and societies around the world. Together, seminar participants will build shared language and frameworks for reshaping the technical and social architectures of generative AI.
The seminar will be structured along three main dimensions for interdisciplinary discussions:
- Examining the cultural values being currently centered in generative AI.
- Studying the possibilities and risks of encoding cultural knowledge into generative AI technologies.
- Understanding the cultural impact of these technologies.
We aim to build a network committed to understanding and designing a culturally-attuned generative AI and to lay the foundation for an interdisciplinary research and practice agenda on global inclusion and generative AI.
Creative Commons BY 4.0
Asia J. Biega, Georgina Born, Fernando Diaz, Mary L. Gray, and Rida Qadri
- Virgilio Almeida (Federal University of Minas Gerais-Belo Horizonte, BR) [dblp]
- Elisabeth André (Universität Augsburg, DE) [dblp]
- Naveen Bagalkot (Manipal Academy of Higher Education - Bangalore, IN)
- Kalika Bali (Microsoft Research India - Bangalore, IN)
- Asia Biega (MPI-SP - Bochum, DE) [dblp]
- Tobias Blanke (University of Amsterdam, NL)
- Georgina Born (University College London, GB)
- Anita Say Chan (University of Illinois at Urbana Champaign, US)
- Marc Cheong (The University of Melbourne, AU)
- Beth Coleman (University of Toronto, CA)
- Catherine d`Ignazio (MIT - Cambridge, US) [dblp]
- Hal Daumé III (University of Maryland - College Park, US) [dblp]
- Fernando Diaz (Carnegie Mellon University - Pittsburgh, US) [dblp]
- Giovanna Fontenelle (Wikimedia - Sao Paulo, BR)
- Tarleton Gillespie (Microsoft New England R&D Center - Cambridge, US)
- Mary L. Gray (Microsoft New England R&D Center - Cambridge, US)
- Huma Gupta (MIT - Cambridge, US)
- Sara Hooker (Cohere For AI - Toronto, CA)
- Maurice Jones (Concordia University - Montreal, CA)
- Jason Edward Lewis (Concordia University - Montreal, CA)
- Emanuel Moss (Intel - Santa Clara, US) [dblp]
- Maryam Mustafa (LUMS - Lahore, PK) [dblp]
- Alice Oh (KAIST - Daejeon, KR) [dblp]
- Rida Qadri (Google - San Francisco, US)
- Noopur Raval (University of California at Los Angeles, US)
- Darci Sprengel (King's College - London, GB)
- Molly Steenson (American Swedish Institute - Minneapolis, US)
- Harini Suresh (Brown University - Providence, US)
- Moira Weigel (Harvard University - Cambridge, US)
Classification
- Artificial Intelligence
- Computers and Society
- Human-Computer Interaction
Keywords
- generative artificial intelligence
- cultural inclusion
- creativity
- social impact of AI
- Global south
