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Research paper explores LLMs for democratic deliberation and inclusivity

A new research paper explores the potential of large language models (LLMs) to enhance democratic deliberation and empower marginalized groups. The paper, drawing on Systemic-Functional Linguistics, examines how LLMs can scaffold argumentation and improve access to discourse, while also cautioning against overstating their capabilities. It identifies future research directions to maximize AI's democratic potential and embed ethical safeguards against linguistic inequalities. AI

IMPACT Explores how LLMs can be leveraged to improve democratic processes and ensure more equitable participation in public discourse.

RANK_REASON The cluster contains a research paper published on arXiv discussing LLMs.

Read on arXiv cs.CL →

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Research paper explores LLMs for democratic deliberation and inclusivity

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The cluster contains a research paper published on arXiv discussing LLMs.
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2 independent sources
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paper, policy
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138 days old
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COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Serge Sharoff ·

    The Almost Intelligent Revolution: Options for Scaling Up Deliberation and Empowering People with AI

    arXiv:2606.19864v1 Announce Type: new Abstract: The increasing prominence of Large Language Models (LLMs) in public discourse presents both opportunities and challenges for democratic deliberation. While red teaming strategies help mitigate specific risks, broader concerns persis…

  2. arXiv cs.CL TIER_1 English(EN) · Serge Sharoff ·

    The Almost Intelligent Revolution: Options for Scaling Up Deliberation and Empowering People with AI

    The increasing prominence of Large Language Models (LLMs) in public discourse presents both opportunities and challenges for democratic deliberation. While red teaming strategies help mitigate specific risks, broader concerns persist regarding linguistic constraints, biases, and …