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 persist regarding linguistic constraints, biases, and the sycophantic tendencies of LLMs. This chapter explores how LLMs can be used to significantly scale up and democratise deliberation, particularly in fostering inclusivity and empowering traditionally marginalised groups. Drawing on concepts from Systemic-Functional Ling
The increasing prominence and capabilities of LLMs in public discourse necessitate exploring their role in democratic processes, moving beyond theoretical concerns to practical applications.
This item highlights the potential of AI to profoundly reshape democratic deliberation, offering tools to enhance inclusivity and empower marginalized groups, while also acknowledging inherent risks.
The focus shifts from merely identifying LLM risks to actively developing strategies for their beneficial integration into societal decision-making and democratic structures.
- · AI developers focused on ethical and civic applications
- · Democratic institutions seeking to scale deliberation
- · Marginalized communities
- · Social scientists
- · Platforms promoting misinformation
- · Groups resistant to transparent and inclusive discourse
- · Traditional lobbying efforts
The article suggests that LLMs can act as facilitators, scaling up public deliberation and making it more accessible.
Enhanced deliberation, guided by ethical AI, could lead to more robust policy-making and increased public engagement.
A deeply deliberative society, powered by AI, might foster greater social cohesion and reduce political polarization.
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