AI and the Future of Digital Public Squares

Beth Goldberg, Diana Acosta-Navas, Michiel Bakker, Ian Beacock, Matt Botvinick +22 more
12/13/2024
cs.CYcs.AI

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Abstract

Two substantial technological advances have reshaped the public square in recent decades: first with the advent of the internet and second with the recent introduction of large language models (LLMs). LLMs offer opportunities for a paradigm shift towards more decentralized, participatory online spaces that can be used to facilitate deliberative dialogues at scale, but also create risks of exacerbating societal schisms. Here, we explore four applications of LLMs to improve digital public squares: collective dialogue systems, bridging systems, community moderation, and proof-of-humanity systems. Building on the input from over 70 civil society experts and technologists, we argue that LLMs both afford promising opportunities to shift the paradigm for conversations at scale and pose distinct risks for digital public squares. We lay out an agenda for future research and investments in AI that will strengthen digital public squares and safeguard against potential misuses of AI.

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Cite this paper

@article{goldberg2024future,
  title  = {AI and the Future of Digital Public Squares},
  author = {Beth Goldberg and Diana Acosta-Navas and Michiel Bakker and Ian Beacock and Matt Botvinick and Prateek Buch and Renée DiResta and Nandika Donthi and Nathanael Fast and Ravi Iyer and Zaria Jalan and Andrew Konya and Grace Kwak Danciu and Hélène Landemore and Alice Marwick and Carl Miller and Aviv Ovadya and Emily Saltz and Lisa Schirch and Dalit Shalom and Divya Siddarth and Felix Sieker and Christopher Small and Jonathan Stray and Audrey Tang and Michael Henry Tessler and Amy Zhang},
  year   = {2024},
  eprint = {2412.09988},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2412.09988v1}
}

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