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Collective statements #1830
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This could be further broken down by topic. |
Collective Statement Example: SJI LandbankHere's a trivial example of generating collective statements from polis data using GPT4o. Files:
Statements which make groups uniqueStatements with high group informed consensusPrompt (generated by GPT4o1-preview)
Output: Collective Statements (generated by GPT4o)Group A (266 Participants):"We, as a collective, believe that the San Juan County Land Bank is a critical institution for preserving the islands' natural beauty and heritage. Our confidence in the Land Bank stems from its commitment to community engagement, responsible land management, and transparent governance. We appreciate its efforts in listening to the needs of the community, as evidenced by its proactive stewardship and conservation practices. We see the Land Bank as a vital entity for the future of San Juan County, ensuring public access to preserved spaces and supporting ecological balance. Though there may be areas for refinement, we believe the Land Bank is responsive and continues to honor its original mandate." Group B (92 Participants):"We collectively express concern that the San Juan County Land Bank has strayed from its mission, becoming an entity lacking transparency and effective management. Our group believes that the institution has failed to manage its properties efficiently and lacks accountability to the public it serves. We feel that the Land Bank should adopt a more community-oriented approach, with increased clarity in its operations and decision-making. Additionally, we are concerned about its operational structure, which we perceive as detached from the original conservation and stewardship goals. To restore trust, we call for a reassessment of the Land Bank's policies and management practices." Overall Consensus Statement:"As residents of the San Juan Islands, we acknowledge the San Juan County Land Bank’s pivotal role in preserving and protecting our unique natural landscapes. Across diverse perspectives, there is broad agreement that the Land Bank should operate with the highest level of transparency and accountability to foster trust and community support. The majority of us value both conservation and public access, supporting a balanced approach that prioritizes environmental stewardship while allowing for responsible recreational use. We endorse ongoing efforts to protect native ecosystems, safeguard water resources, and consider soil health in property management. Additionally, there is strong consensus on the need for the Land Bank to incorporate diverse community voices, particularly through greater representation on its commission. While we recognize the positive impacts of the Land Bank, we also encourage continued dialogue and improvements to better align with the evolving needs of our community." |
A worthy experiment related to the Science paper above could be replacing the visualization with collective statements which can be rated by groups. Each participant could rate a collective statement about their own group, and see a statement about other groups. Here's a low fidelity example, with intentionally silly button language. Alternatives to the buttons, which might be familiar to voting, or might be too close to voting:
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Rated collective statements could be seen as a separate, and complementary, deliverable to #915, just as the report has always been distinct from the visualization, with different goals and different audiences. Delivering these side by side stapled together would continue to try to strike a balance between emergent / informal / fast and formal / quantitative. |
Hey! We applied a version of this idea to the report on our latest conversation in Uruguay. This went about Social Security and a plebiscite to amend the constitution. The result of the plebiscite ended up being negative but the discussion will continue. Those are in Spanish but browser translate should do the trick We chose to describe the groups in the third person and got something like this: Group A: Primary focus on fiscal responsibility (208) Group B: Main focus on equity (538) Consensus Areas of Uncertainty Among the issues of greatest uncertainty are the definition of the limits between a social security reform and a pension reform, the ability of individuals to save based on their income in order to contribute to the system, and the fairness of contributions to various professional funds. There are also doubts about how the charging of minimum wages for social benefits should be implemented and the equity in the unification of benefits from all funds. These areas of uncertainty indicate the need for increased dialogue, information and education around these issues to help the community better understand the implications of each proposal and make informed decisions. Closing the loop We have definitely discussed how interesting would be to close de loop and actually ask participants if they recognize themselves in these groups and use that in a second round of conversation. We thought this as an in person exercise but ofc those interfaces look really good. As with other things the challenge would be to get participants to effectively return to the conversation once some time has passed. |
We've been using a similar kind of system; where we take the statements with the highest max-min bridging agreement and then use an LLM to create a slate synthesized collective statements; with one statement capturing each of the unique topics. Then we have participants vote on those statements to validate how representative they actually are. The "tooling" we built for this (early example here, specific to Democratic Inputs to AI stuff with Open AI) can handle doing the statement generation for both individual groups or participants overall, but we've largely focused on doing this across the whole universe of participants and focused on "common ground". We used this type of pipeline to develop normative objectives for AI alignment, and it works really well at crisply articulating common ground; the final set of normative objective statements had >95% approval from participants. We've also been using a similar pipeline in peacebuilding work and it routinely generates statements that get >80% approval from people on both sides of active conflicts. Few thoughts on where this stuff could go though beyond the awesome ideas above... One direction is to focus on the loop closing and work back:
Or from a pretty output / way of interacting with the data you want to arrive at:
Or maybe just YOLO it all on synthetic?
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DeepMind has dropped a paper which cites as inspiration the "Opportunities and Risks of LLMs for Scalable Deliberation with Polis" https://arxiv.org/abs/2306.11932 paper.
https://www.science.org/doi/epdf/10.1126/science.adq2852
This issue is a stub that will be expanded, but the tldr; is that it's exciting to think about applying this clusters not just to an entire population (like an entire citizen assembly) but to each cluster (opinion group statements) and statements which rank high on group informed consensus (collective statement from entire population). This would definitionally increase the scores and metrics DeepMind measures against here.
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