A platform for democratic deliberation powered by modern web technologies and AI-facilitated consensus building
Habermas Machine is designed to facilitate structured, multi-round deliberations that help groups reach informed consensus on complex topics. Named after philosopher Jürgen Habermas and his theories on communicative rationality and deliberative democracy, our platform combines human insight with AI assistance to create meaningful dialogue.
We believe that better collective decisions emerge when diverse perspectives are heard, critiqued, and refined through structured deliberation processes.
Participants engage in structured rounds of opinion sharing, ranking, consensus building, and critique, allowing ideas to be refined and improved iteratively.
Drag-and-drop interface allows participants to rank statements by preference, with collective results determining which positions receive the most support.
Built-in reporting system allows participants to flag inappropriate content, helping maintain a respectful and productive deliberation environment.
For binary policy questions, participants rate their position on a 10-point Likert scale between clearly defined "agree" and "disagree" statements, both before and after deliberation.
Example: "Should we implement a carbon tax to address climate change?"
For complex topics requiring nuanced discussion, participants share detailed perspectives that are synthesized into multiple position statements for ranking and refinement.
Example: "What is the most effective approach to addressing income inequality?"
Participants provide demographic information, rate their initial position, certainty level, and openness to AI facilitation.
Participants share their perspectives on the topic with word count tracking and real-time status indicators.
AI-generated summary statements are presented, and participants rank them by preference using a drag-and-drop interface.
The highest-ranked statement is displayed as the group's consensus position.
Participants provide feedback on the consensus statement, which is used to generate refined alternatives for the next round.
Refined statements incorporating participant feedback are ranked again.
The final consensus statement is presented, and participants rate their agreement or position (for yes/no questions).
Participants reflect on their experience, rate the process, and provide qualitative feedback on how deliberation influenced their views.
Habermas Machine is designed for academic research on deliberative democracy, collective intelligence, and AI-human collaboration. The platform enables researchers to: