Transforming Human-AI Collaboration using “Large Whatever Models” (LWMs)
ElAgroudy, Passant Vaananen, Kaisa Li, Jie Oulasvirta, Antti Barbareschi, Giulia Gruenerbl, Agnes Churchill, Elizabeth F. Mackay, Wendy E. Schmidt, Albrecht Lukowicz, Paul
ElAgroudy, Passant
Vaananen, Kaisa
Li, Jie
Oulasvirta, Antti
Barbareschi, Giulia
Gruenerbl, Agnes
Churchill, Elizabeth F.
Mackay, Wendy E.
Schmidt, Albrecht
Lukowicz, Paul
Supervisor
Department
Human Computer Interaction
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Type
Conference proceeding
Date
2025
License
Language
English
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Abstract
This Special Interest Group (SIG) focuses on re-imagining Human-AI collaboration in the age of off-the-shelf generative AI technologies reflecting the growing integration of AI into daily life and societal systems. The SIG addresses human-AI collaboration at three levels: interaction, collaboration, and symbiosis. Key topics include designing systems that adapt to human contexts, re-imagining collaboration interfaces, fostering inclusive urban environments, and balancing technological governance with equitable access. We also pose the question: what is the next big thing after GenAI to enhance collective intelligence, and societal equity and empower people? Our goal here is to build a sustainable, specialized, and interdisciplinary community beyond the scope of the SIG that focuses on creating a sustainable, equitable global impact through augmenting human capabilities with efficient, safe, and trustworthy collaborations with AI systems.
Citation
P. ElAgroudy et al., “Transforming Human-AI Collaboration using ‘Large Whatever Models’ (LWMs),” Conference on Human Factors in Computing Systems - Proceedings , Apr. 2025, doi: 10.1145/3706599.3716293
Source
Conference on Human Factors in Computing Systems - Proceedings
Conference
2025 CHI Conference on Human Factors in Computing Systems, CHI EA 2025
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Source
2025 CHI Conference on Human Factors in Computing Systems, CHI EA 2025
Publisher
Association for Computing Machinery