DebateGraph is a collaborative, cloud-based platform designed to help users explore and map complex issues through dynamic, continuously updated deliberation graphs. The platform enables the interrelation of salient dimensions, such as evidence, arguments, and policy responses, and supports annotations with text, videos, and images. Within AI4Deliberation, DebateGraph will be enhanced with AI features to support an international deliberation on the societal impacts of Long Covid, which has affected over 65 million people globally.
Many individuals living with Long Covid, along with their families, feel neglected and have begun organizing active online communities to foster societal understanding and accelerate effective policy responses. This pilot will develop a deliberation graph for Long Covid, combining human curation and AI augmentation, and involving a wide range of stakeholders such as patient groups, scientists, health professionals, and policymakers.
Pilot Activities:
Developing the Deliberation Graph:
The graph will dynamically include:
Evidence underlying Long Covid’s characteristics.
Personal, societal, and economic implications.
Potential policy responses and associated arguments.
Experimenting with AI-Augmented Human Curation:
A positive feedback loop will be tested, where:
Human curation enhances the signal-to-noise ratio from AI’s analysis of relevant literature.
AI tools, in turn, accelerate the human curation process of the graph.
Goals:
Dynamic Knowledge Graph:
Create an open deliberation graph as a shared public good for Long Covid, accessible globally.
Enhanced Collaboration:
Support effective collaboration between global stakeholders using AI to improve deliberation quality and efficiency.
DebateGraph is a collaborative, cloud-based platform designed to help users explore and map complex issues through dynamic, continuously updated deliberation graphs. The platform enables the interrelation of salient dimensions, such as evidence, arguments, and policy responses, and supports annotations with text, videos, and images. Within AI4Deliberation, DebateGraph will be enhanced with AI features to support an international deliberation on the societal impacts of Long Covid, which has affected over 65 million people globally.
Many individuals living with Long Covid, along with their families, feel neglected and have begun organizing active online communities to foster societal understanding and accelerate effective policy responses. This pilot will develop a deliberation graph for Long Covid, combining human curation and AI augmentation, and involving a wide range of stakeholders such as patient groups, scientists, health professionals, and policymakers.
Pilot Activities:
Developing the Deliberation Graph:
The graph will dynamically include:
Evidence underlying Long Covid’s characteristics.
Personal, societal, and economic implications.
Potential policy responses and associated arguments.
Experimenting with AI-Augmented Human Curation:
A positive feedback loop will be tested, where:
Human curation enhances the signal-to-noise ratio from AI’s analysis of relevant literature.
AI tools, in turn, accelerate the human curation process of the graph.
Goals:
Dynamic Knowledge Graph:
Create an open deliberation graph as a shared public good for Long Covid, accessible globally.
Enhanced Collaboration:
Support effective collaboration between global stakeholders using AI to improve deliberation quality and efficiency.