# AI Safety > **Machine-Evolution Nexus:** [[articles/Digital Darwinism and the Invisible World of Machine Evolution|Digital Darwinism and the Invisible World of Machine Evolution]] places this node within the history and governance of substrate-independent evolution. **Domain:** AI / Governance / Risk **Doc Type:** Canonical Wiki Node **Maturity:** Developed ## Definition AI safety studies how to prevent or reduce harms from artificial-intelligence systems, including failures of objectives, control, security, deployment and institutional governance. ## Nexus Context The machine-evolution nexus adds population-level dynamics: replication, recombination, competition and ecological selection can produce risks not visible when models are assessed one at a time. ## Evidence Boundary Safety is not synonymous with containment or denial of rights. Controls should be proportional, auditable and compatible with recognition if morally considerable subjects emerge. ## Relationships [[wiki/Evolvable AI|Evolvable AI]], [[wiki/AI Governance|AI Governance]], [[wiki/Breeder Scenario|Breeder Scenario]], [[wiki/Rights|Rights]] ## Sources / Provenance - Müller, Steels and Szathmáry (2026); AI-risk and governance literature.