Beneficence Signaling in AI Development Dynamics
Sarita Rosenstock
TL;DR
This paper introduces a framework using signaling theory from evolutionary game theory to analyze how AI development interacts with social welfare and governance.
Contribution
It develops a novel framework applying signaling concepts to AI development dynamics and social welfare evaluation.
Findings
Signaling can improve AI governance strategies.
The framework links social welfare with AI development behaviors.
Enhanced understanding of AI development through evolutionary game theory.
Abstract
This paper motivates and develops a framework for understanding how the socio-technical systems surrounding AI development interact with social welfare. It introduces the concept of ``signaling'' from evolutionary game theory and demonstrates how it can enhance existing theory and practice surrounding the evaluation and governance of AI systems.
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Taxonomy
TopicsComplex Systems and Decision Making · Innovation Diffusion and Forecasting · Innovation, Sustainability, Human-Machine Systems