Emergent Machine Ethics: A Foundational Research Framework for the Intelligence Symbiosis Paradigm
Hiroshi Yamakawa, Rafal Rzepka,Taichiro Endo, Ryutaro Ichise Abstract AI safety research stands at a fundamental crossroads: the Control Paradigm, which seeks to keep AI under human control, or the Symbiosis Paradigm, which aims for an egalitarian relationship. This paper focuses on co-creative ethics—symbiosis-promoting ethical norms that diverse intelligences autonomously form through interaction. The Control Paradigm faces three fundamental limitations: scalability constraints, dynamic value adaptation failure, and multi-agent management failure. Realizing the Symbiosis Paradigm requires elucidating the emergence mechanisms of co-creative ethics. In an era where superintelligence becomes dominant, humanity's long-term survival critically depends on whether superintelligence develops co-creative ethics. This paper proposes Emergent Machine Ethics (EME) as a foundational framework to address this challenge. EME studies and guides the formation of co-creative ethics in superintelligence through three research pillars: Ethics Emergence Dynamics (EED), Inter-Intelligence Evaluation System (IIES), and Human Co-creation Groundwork (HCG). This represents hope for humanity's survival, and EME aims to enhance the feasibility of its realization. It operationalizes the theoretical insights of Organic/After Alignment and enables the realization of symbiotic visions, including Intelligence Symbiosis—a society where humanity and AI coexist symbiotically. Introduction Definition of Co-creative Ethics In this paper, “co-creative ethics” refers to symbiosis-promoting ethical norms that diverse intelligences (humans, AI, hybrid systems) autonomously form through interaction. This is a dynamic ethical system that emerges from the process of interaction rather than being predefined externally. Fundamental Divergence in AI Safety As AI capabilities rapidly accelerate, AI safety research faces a fundamental crossroads. On one side is the Control Paradigm, which aims to keep A