Researchers from across The Ohio State University recently gathered in Pomerene Hall for the Joint Human-AI Systems (JHAS) Idea Lab, an interactive workshop hosted by the Translational Data Analytics Institute (TDAI) as part of its Yearlong Themes initiative.

Co-led by Mike Rayo and Srinivasan Parthasarathy and facilitated by Donnalyn Roxey of Knowinnovation, the workshop brought together faculty from a broad range of disciplines to shape a shared research vision for the future of human-AI collaboration and identify opportunities for interdisciplinary research and future funding.

Building on a year of seminars, AI Summit panels, and community discussions, the Idea Lab focused on the concept of Joint Human-AI Systems—where humans and AI work together as coordinated teams, combining their complementary strengths to solve complex challenges in areas such as healthcare, emergency response, manufacturing, and scientific discovery.

Participants worked through facilitated discussions centered on four emerging research priorities: cognitive and computational foundations for human-AI coordination; scalable architectures for shared grounding and dynamic autonomy; advanced natural interfaces for human-AI interaction; and measurement and monitoring to ensure safety, security, and alignment.

The collaborative workshop encouraged researchers to identify gaps, refine shared priorities, and explore new interdisciplinary partnerships that can position Ohio State for future center-scale research initiatives and competitive funding opportunities.

The Joint Human-AI Systems Idea Lab reflects TDAI's commitment to bringing together researchers across disciplines to address emerging challenges in artificial intelligence and data science. Through its Yearlong Themes program, TDAI continues to foster new collaborations that accelerate discovery and advance Ohio State's leadership in human-centered AI research.