Choose Your Agent: Tradeoffs in Adopting AI Advisors, Coaches, and Delegates in Multi-Party Negotiation
arXiv:2602.12089v3 Announce Type: replace-cross Abstract: As AI usage becomes more prevalent in social contexts, understanding agent-user interaction is critical to designing systems that imp rove both individual and group outcomes. We present an online behavioral experiment (N=243) in which participants play three multi-tu rn bargaining games in groups of three. Each game, presented in randomized order, grants access to a single LLM assistance modality: proactive recommendations from an Advisor, reactive feedback from a Coach, or autonomous execution by a Delegate. All three modalitie s are p
The proliferation of advanced AI models necessitates understanding their integration into human workflows and social contexts, particularly in high-stakes areas like negotiation.
Sophisticated readers should care because effective integration of AI into multi-party decision-making impacts productivity, fairness, and the evolution of human-AI collaboration paradigms across industries.
The research provides empirical insights into the trade-offs of different AI assistance modalities (Advisor, Coach, Delegate) in collaborative tasks, informing future AI system design and corporate adoption strategies.
- · AI-powered collaboration platforms
- · Productivity software developers
- · Consulting services for AI implementation
- · Knowledge workers adapting to AI assistance
- · Companies neglecting AI integration
- · Individuals resistant to AI collaboration
- · Legacy decision-making processes
Companies will increasingly experiment with and deploy AI agents for internal and external negotiations, leading to faster and potentially more optimized outcomes.
The demand for specialized AI agents tailored to specific industry negotiations will grow, creating new niches for AI development and deployment.
Ethical and regulatory frameworks governing AI agent autonomy and influence in critical human decision-making processes will become a major point of contention and development globally.
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Read at arXiv cs.AI