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An autonomous debating system.

Noam Slonim1, Yonatan Bilu2, Carlos Alzate3

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Summary
This summary is machine-generated.

Artificial intelligence (AI) researchers developed Project Debater, an autonomous system for human-AI debates. While AI excels at games, human-like argumentation requires new approaches.

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Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Computational Linguistics

Background:

  • Argumentation and debate are core human intelligence capabilities.
  • Computational argumentation is an emerging AI research discipline.
  • Previous AI 'grand challenges' focused on games, not nuanced human interaction.

Purpose of the Study:

  • Introduce Project Debater, an AI system capable of engaging in competitive debates with humans.
  • Evaluate the system's architecture, performance, and capabilities across diverse topics.
  • Explore the distinctions between AI in games versus AI in human-like argumentation.

Main Methods:

  • Developed an autonomous debating system (Project Debater).
  • Conducted systematic evaluations across various debate topics.
  • Documented performance in a public debate against expert human debaters.

Main Results:

  • Project Debater demonstrated capabilities in engaging in competitive debates.
  • The system's architecture and performance were systematically evaluated.
  • Human debaters still hold an advantage in nuanced argumentation.

Conclusions:

  • Debating presents unique challenges for AI compared to game playing.
  • Current AI paradigms may be insufficient for human-level argumentation.
  • Novel approaches are needed to advance AI in complex human interactions.