
Por qué la gobernanza es la nueva infraestructura para la IA física
Los marcos sólidos de gobernanza son esenciales para gestionar los riesgos operativos y garantizar la seguridad en entornos físicos.
Ariki Ono is an industry executive with over 20 years of experience in manufacturing, supply chain management and logistics operations. He has been involved in introducing AI and advanced analytics into manufacturing and SCM environments since the early 2010s, well before today’s surge in generative and embodied AI. He works with manufacturers and supply-chain-intensive organizations to redesign how operating models such as AI, robotics and automation are embedded across factories, warehouses and distribution networks. His focus is on how AI governance shapes accountability, decision rights and human–AI collaboration in physical operations. Based in Japan, he brings a practitioner’s perspective from one of the world’s most labour-constrained manufacturing economies.
Los marcos sólidos de gobernanza son esenciales para gestionar los riesgos operativos y garantizar la seguridad en entornos físicos.
人工知能は、画面上で利用されるツールから、実体経済の中で稼働する物理的システムへと移行しつつある。 人口動態の変化や労働力不足が、産業の持続性を維持するためのAI導入を加速させている。 物理的環境における安全性を確保し、運用上のリスクを適切に管理するためには、強固なガバナンスの枠組みが不可欠である。
The mid-2020s may be remembered as the period when artificial intelligence (AI) ceased to be primarily a screen-based productivity tool and began operating as a physical system in the rea...

