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Agentic AI for Online Dialogue

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Agentic AI for Online Dialogue

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tRalph May 5, 2025
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Challenge: AI FOR PEACE CHALLENGE

Industries

Community and CollaborationLearning and educationSustainability & Environment

Technologies

Data science & analyticsLLMs & NLPReinforcement learning

Tags

Featured

Description

Design autonomous AI chatbots for multi-party debates. Encode roles like mediator, skeptic, and expert to reflect diverse views. Use reinforcement learning to promote empathy and common ground. Apply NLP for summarization and sentiment analysis to guide dialogue. Offer a modular framework for forums, social media, or messaging apps. Ensure transparent policies and ethical limits to uphold civility and accountability in all interactions.

Detailed Idea

Alignment with DF goals (BGI, Platform growth, community)

This initiative fits DeepFunding’s vision by using decentralized AI to improve social discourse. It plans to deploy agentic dialogue modules on SingularityNET, enabling collective refinement and transparency. By promoting empathy, understanding, and alignment with human values, it advances the ideals of Beneficial General Intelligence. The project’s open, collaborative design aligns with SingularityNET’s ethos of ethical AI serving societal needs. Ultimately, it strengthens social cohesion through technology in a manner consistent with Decentralized, beneficial AGI.

Problem description

Online debates on divisive topics often turn hostile, with users retreating into echo chambers and avoiding constructive engagement. Emotion-fueled posts and trolls derail reasoned discourse, while human moderators can't manage every group. This communication failure weakens mutual understanding and blocks collaboration on shared issues. Without better tools for meaningful dialogue, online platforms risk worsening social divides.

Proposed Solutions

This platform uses autonomous AI agents to foster constructive online dialogue. Each represents a viewpoint, engaging users or other agents in respectful, informed debate. NLP and sentiment analysis spot conflicts, while reinforcement learning helps agents adapt for empathy and common ground. Hosted on SingularityNET, agents evolve through community training. These AI-led talks and summaries break echo chambers and promote civil discourse.

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