New model explores how AI agents persuade humans

A new theoretical framework called the Knowledge-based Persuasion Model (KPM) has been proposed to understand how generative social agents (GSAs) interact with and influence human users. Developed by Stephan Vonschallen from Brandeis University, the KPM posits that a GSA's self-, user-, and context-knowledge dictates its persuasive strategies, which in turn affect human attitudes and behaviors. The model aims to guide the development of responsible GSAs that promote user well-being by adhering to social norms and ethical standards, with potential applications in fields like healthcare and education. AI

IMPACT Provides a framework for developing more ethical and effective AI agents in human interaction.

RANK_REASON The cluster contains an academic paper detailing a new theoretical model. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• arXiv
• Brandeis University
• Generative social agents
• Hugging Face
• Knowledge-based Persuasion Model
• Stephan Vonschallen

• paper
• safety

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