Human-AI Interaction
Working Group
Mission Statement
This working group aims to advance, standardize, and support human-AI interaction cycles through well-defined interfaces and community-driven development. The focus includes developing standardized APIs for AI prompting, uncertainty communication, and annotation feedback processes with the end goal of creating robust, reusable interactive AI workflows. By fostering community-driven specification and implementation across diverse domains including radiology, pathology, and surgery, the group enables efficient AI deployment across cloud, local, and HPC environments.
Get Involved
Join Our Working Group
We are looking for engaging members for the MONAI Human-AI Interaction (HAI) Working Group. If you are interested in contributing — even if it is just participating and adding to discussions at our meetings — please fill out our participation form and get in contact with us.
Meeting Information
- • Schedule: Every 1st and 3rd Wednesday of the month
- • Time: 4:00 pm CET / 10:00 am EST / 7:00 am PST
- • Contact: monai-wg-hai-contact@googlegroups.com
Initiatives
Interface Development
- • Standardizing AI prompting protocols and APIs
- • Developing intuitive interfaces for AI result visualization
- • Creating frameworks for uncertainty communication
- • Implementing efficient annotation feedback loops
Integration & Implementation
- • Enhancement of MONAI Label capabilities
- • Development of cross-domain applications
- • Support for diverse deployment environments
- • Integration with clinical workflows
Group Leads
Dr. Ralf Floca
Group Lead
German Cancer Research Center (DKFZ)
AI-Human Interaction Chair & Arbitration Board
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Dr. Saad Nadeem
Assistant Professor
Memorial Sloan Kettering Cancer Center
AI-Human Interaction Chair
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Resources
Development Resources
Educational Materials
Collaboration Opportunities
Development Contributions
- • Contribute to MONAI Label development through our GitHub repository
- • Implement new interaction patterns and visualization tools
- • Create sample applications and use cases
Community Engagement
- • Share your expertise in human-AI interaction design
- • Participate in defining standards and best practices
- • Contribute to community discussions and knowledge sharing
- • Join our working group - meetings held 1st and 3rd Wednesday of each month