Opportunities and Challenges of Model Multiplicity in Interactive Software Systems

Abstract

The proliferation of artificial intelligence (AI) in interactive systems has led to significant challenges in model integration, but also end-user-related aspects such as over-and undertrust. This paper presents an initial exploration on how multiple AI models with the same performance and behavior but different internal workings-a phenomenon called model multiplicity-affect system integration and user interaction. We discuss the implications of model multiplicity for transparency, trust, and operational effectiveness in interactive software systems.