Artificial Intelligence (AI) is transforming humans’ activities through continuous collaboration in domains where AI-supported decisions affect humans and societies. In this context, the focus should shift toward the development of Symbiotic AI (SAI) systems that support humans rather than replace them. This contribution presents a set of Success Criteria (SC) that can be used to evaluate such SAI systems by determining whether the requirements of symbiosis are met. The paper also includes a preliminary validation of the criteria through a pilot user study.

Success Criteria for Evaluating Symbiotic AI Systems

Antonio Curci;
2026-01-01

Abstract

Artificial Intelligence (AI) is transforming humans’ activities through continuous collaboration in domains where AI-supported decisions affect humans and societies. In this context, the focus should shift toward the development of Symbiotic AI (SAI) systems that support humans rather than replace them. This contribution presents a set of Success Criteria (SC) that can be used to evaluate such SAI systems by determining whether the requirements of symbiosis are met. The paper also includes a preliminary validation of the criteria through a pilot user study.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1372408
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