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WASP

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Welcome to the workshop “The Politics of Models: Bias, Representation and Transparency in Generative Models.” The event brings together researchers from both WASP and WASP-HS to explore the societal, cultural, and technical dimensions of generative AI, and to foster new interdisciplinary collaborations. About the workshop Generative models can capture an abstract representation of various modalities such as sound, images, video, text, and data. These models are now globally utilized for knowledge and content organization and synthesis. The generative AI models are integrated rapidly into research, industry, culture, and the public sectors; where the accelerated growth hinders the considerations into societal implications of these rapid advancements. These models are new forms of knowledge representation, in which the technical choices such as applied ontology or categorizations as well as the data sources and gathering processes, influence, imply, and afford new forms of power and control on representation, history, culture, and knowledge associations. Addressing these issues requires both technical advancement and research as well as societal grounding, awareness in positionality, and critical engagements. This workshop creates a shared space for WASP and WASP-HS researchers with the goal to build interdisciplinary research directions to influence a better and healthier societal integration of generative AI. Researchers at all career stages are welcome to apply by April 17.

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