Additional Resource
How A.I. Can Be Good For Democracy
In a recent guest essay for The New York Times, Allen Lab Democracy Stack Fellow Beth Noveck argues for putting A.I. behind every public servant.
Article
This working paper aims to articulate an interdisciplinary research and practice area focused around bridging systems.
Divisiveness appears to be increasing in much of the world. This can lead to concern about political violence and a decreasing capacity to collaboratively address large-scale societal challenges. In this working paper we aim to articulate an interdisciplinary research and practice area focused around what we call bridging systems. These are systems which increase mutual understanding and trust across divides, creating space for productive conflict, deliberation, or cooperation.
We give examples of bridging systems across three domains: recommender systems on social media, software for conducting civic forums, and human-facilitated group deliberation. We argue that these examples can be more meaningfully understood as processes for attention-allocation (as opposed to “content distribution” or “amplification”). Further, we develop a corresponding framework to explore similarities – and opportunities for bridging – across these seemingly disparate domains. In particular, we focus on the potential of bridging-based ranking to bring the benefits of offline bridging into spaces which are already governed by algorithms. Throughout, we suggest research directions that could improve our capacity to incorporate bridging into a world increasingly mediated by algorithms and artificial intelligence.
Additional Resource
In a recent guest essay for The New York Times, Allen Lab Democracy Stack Fellow Beth Noveck argues for putting A.I. behind every public servant.
Media Release
Open Access Resource
With a majority of municipalities publishing their budgets as PDFs, Open Book offers a free alternative that towns own and run themselves.