Presentation
BioSage: Human-Agent Collaboration Platform for Cross-Disciplinary Knowledge Discovery and Synthesis
DescriptionScientific and technical experts face increasing cognitive demands due to the overwhelming volume of scientific artifacts, databases, frontier models, and evolving hypotheses across domains. Traditional Artificial Intelligence (AI) systems often prioritize model performance over user integration, limiting their effectiveness in real-world workflows. This paper presents BioSage, a Compound Artificial Intelligence (CAI) platform designed through a workflow-centric, human-centered approach. Guided by principles from human factors, cognitive science, and industrial-organizational psychology, BioSage incorporates multiple collaborative agents—retrieval, reasoning, and translator—each aligned to a specific user need in the scientific discovery process. The system supports key workflows such as knowledge retrieval and synthesis, research debate, and brainstorming. Through initial user testing with domain experts and cross-disciplinary benchmarks, BioSage demonstrates how user-aligned CAI architecture can reduce cognitive load, improve insight generation, and build user trust through transparency and perspective-taking. This work underscores the value of integrating human-centered design in the early stages of compound AI development to enhance adoption and impact in high-stakes environments.
Event Type
Lecture
TimeTuesday, October 14th2:10pm - 2:30pm CDT
LocationGrand B
Human AI Robot Teaming (AI)
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