Merge pull request #1081 from Common-Good-AI/main

Update 5-4-augmented-deliberation.md

Author: GlenWeyl

contents/english/5-4-augmented-deliberation.md

@@ -65,7 +65,7 @@ As we discussed in [The Life of a Digital Democracy](https://www.plurality.net/v
 [^polis]: Christopher T. Small, Michael Bjorkegren, Lynette Shaw and Colin Megill, "Polis: Scaling Deliberation by Mapping High Dimensional Opinion Spaces" *Recerca: Revista de Pensament i Analàlisi* 26, no. 2 (2021): 1-26.
 
 
-Polis is a prominent example of what leading ⿻ technologists [Aviv Ovadya](https://aviv.me/) and [Luke Thorburn](https://lukethorburn.com/) call "collective response systems" and  "bridging systems" and others call "wikisurveys".[^names] Other leading examples include [All Our Ideas](https://www.allourideas.org/) and [Remesh](https://www.remesh.ai/), which have various trade-offs in terms of user experience, degree of open source and other features.  What these systems share is that they combine the participatory, open and interactive nature of social media with features that encourage thoughtful listening, an understanding of conversational dynamics and the careful emergence of an understanding of shared views and points of rough consensus.  Such systems have been used to make increasingly consequential policy and design decisions, around topics such as the regulation of [ride-hailing applications](https://www.centreforpublicimpact.org/case-study/building-consensus-compromise-uber-taiwan) and the direction of some of the leading generative foundation models (GFMs).[^CPI]  In particular, working closely with the ⿻ NGO the [Collective Intelligence Project](https://cip.org/) (CIP), [Anthropic's](https://www.anthropic.com/) recently released [Claude3](https://www.anthropic.com/claude) model, considered by many to be the current state-of-the-art in GFMs, [sourced the constitution used to steer model behavior using Polis](https://twitter.com/collect_intel/status/1764731360093130934).[^CollectiveConstitution]  OpenAI, the other leading provider of GFMs today, also worked closely with CIP to run a grant program on "[democratic inputs to AI](https://openai.com/blog/democratic-inputs-to-ai-grant-program-update)" that dramatically accelerated research in this area and on the basis of which they are now forming a "Collective Alignment Team" to incorporate these inputs into the steering of OpenAI's models.[^deminputs]
+Polis is a prominent example of what leading ⿻ technologists [Aviv Ovadya](https://aviv.me/) and [Luke Thorburn](https://lukethorburn.com/) call "collective response systems" and  "bridging systems" and others call "wikisurveys".[^names] Other leading examples include [All Our Ideas](https://www.allourideas.org/) and [Remesh](https://www.remesh.ai/), which have various trade-offs in terms of user experience, degree of open source and other features.  What these systems share is that they combine the participatory, open and interactive nature of social media with features that encourage thoughtful listening, an understanding of conversational dynamics and the careful emergence of an understanding of shared views and points of rough consensus.  Other systems, like [CrowdSmart](https://www.crowdsmart.ai/), focus on using collective intelligence for predictive modeling. Original developed for collaborative investing within a VC firm, CrowdSmart uses a ranking mechanism combined with Bayesian learning to build causal collaboration models to find group priorities and desired outcomes. Such systems have been used to make increasingly consequential policy and design decisions, around topics such as the regulation of [ride-hailing applications](https://www.centreforpublicimpact.org/case-study/building-consensus-compromise-uber-taiwan) and the direction of some of the leading generative foundation models (GFMs).[^CPI]  In particular, working closely with the ⿻ NGO the [Collective Intelligence Project](https://cip.org/) (CIP), [Anthropic's](https://www.anthropic.com/) recently released [Claude3](https://www.anthropic.com/claude) model, considered by many to be the current state-of-the-art in GFMs, [sourced the constitution used to steer model behavior using Polis](https://twitter.com/collect_intel/status/1764731360093130934).[^CollectiveConstitution]  OpenAI, the other leading provider of GFMs today, also worked closely with CIP to run a grant program on "[democratic inputs to AI](https://openai.com/blog/democratic-inputs-to-ai-grant-program-update)" that dramatically accelerated research in this area and on the basis of which they are now forming a "Collective Alignment Team" to incorporate these inputs into the steering of OpenAI's models.[^deminputs]
 
 [^names]: Matthew J. Salganik and Karen E. C. Levy, "Wiki Surveys: Open and Quantifiable Social Data Collection" *PLOS One* 10, no. 5: e0123483 at https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0123483.  Aviv Ovadya and Luke Thorburn, "Bridging Systems: Open Problems for Countering Destructive Divisiveness across Ranking, Recommenders, and Governance" (2023) at https://arxiv.org/abs/2301.09976.  Aviv Ovadya, "'Generative CI' Through Collective Response Systems" (2023) at https://arxiv.org/pdf/2302.00672.pdf.
 [^CPI]: Yu-Tang Hsiao, Shu-Yang Lin, Audrey Tang, Darshana Narayanan and Claudina Sarahe, "vTaiwan: An Empirical Study of Open Consultation Process in Taiwan" (2018) at https://osf.io/preprints/socarxiv/xyhft.