用大模型重构线上公共空间，促对话也防分裂
AI and the Future of Digital Public Squares
- 用大模型构建可规模化参与的对话系统
- 提出四类应用缓解数字空间对立与虚假信息
- 面向政策制定者和平台设计者，推动负责任的AI应用
近几十年来，互联网和大型语言模型（LLMs）的兴起重塑了公共空间。LLMs为构建更去中心化、更具参与性的在线对话环境提供了可能，有助于实现大规模审议性对话，但也可能加剧社会分歧。本文探讨了四种应用场景：集体对话系统、跨群体连接系统、社区内容审核系统和身份真实性验证系统。基于超过70位公民社会专家和技术人员的反馈，我们指出LLMs既带来了改善大规模对话的新机遇，也带来了独特风险。论文提出了未来研究与投资的议程，旨在强化数字公共空间，并防范人工智能的潜在滥用。
原文摘要 · Abstract (English)
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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