AI and the Future of Digital Public Squares
Abstrak
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.
Penulis (27)
Beth Goldberg
Diana Acosta-Navas
Michiel Bakker
Ian Beacock
Matt Botvinick
Prateek Buch
Renée DiResta
Nandika Donthi
Nathanael Fast
Ravi Iyer
Zaria Jalan
Andrew Konya
Grace Kwak Danciu
Hélène Landemore
Alice Marwick
Carl Miller
Aviv Ovadya
Emily Saltz
Lisa Schirch
Dalit Shalom
Divya Siddarth
Felix Sieker
Christopher Small
Jonathan Stray
Audrey Tang
Michael Henry Tessler
Amy Zhang
Akses Cepat
- Tahun Terbit
- 2024
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓