Designing an Agentic AI Assistant for Chemical Discovery
Siya Kunde, Stephanie Houde, et al.
IUI 2025
Generative Artificial Intelligence (GAI) models capable of complex tasks are revolutionizing areas previously considered to define humanity, such as creativity, design, and knowledge work. Research reports that Human-GAI co-creation processes can enhance creativity and even foster a sense of empowerment. A key innovation is the intent-based outcome specification, where users define desired results through natural language, sketches, or gestures, thus shifting control from users to AI models. This paradigm enables new forms of co-creation while presenting challenges in creating effective and safe outcome specifications. This workshop aims to investigate the design, implementation, and evaluation of intent-based co-creative experiences that boost human creativity in work, play, and education across text, images, audio, code, and video. Key questions focus on how creativity support can guide generative AI development and how to leverage generative models for positive user experiences. By uniting researchers and practitioners from Human-Computer Interaction (HCI) and AI, the workshop seeks to deepen understanding of human-AI co-creative interactions and explore opportunities and challenges in developing meaningful and safe generative systems.
Siya Kunde, Stephanie Houde, et al.
IUI 2025
Sören Bleikertz, Carsten Vogel, et al.
ACSAC 2014
Shang-Ling Hsu, Raj Sanjay Shah, et al.
Proceedings of the ACM on Human Computer Interaction
Robert Moore, Eric Young Liu, et al.
CUI 2020