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AI+Science: Accelerating Discovery

The AI+Science conference opened with Stanford President Jonathan Levin highlighting how artificial intelligence, once absent from national science agendas, has become a catalyst for accelerating discovery. The day’s centerpiece was the announcement that Stanford’s Human‑Centered AI Institute and Stanford Data Science have merged into a single, university‑wide hub for AI and data science, signaling a strategic shift toward interdisciplinary collaboration. Key insights emphasized the institute’s three pillars: open science—committing to share models, data, and methods publicly; team science—building large, sustained, cross‑disciplinary teams to address long‑term challenges that industry overlooks; and global responsibility—partnering with institutions worldwide to ensure AI benefits humanity. Speakers underscored AI’s role in uncovering high‑dimensional patterns across biology, climate, and physics, while also noting that scientific rigor will drive the next generation of trustworthy AI. Notable remarks included Levin’s observation that AI was missing from the 2021 presidential science agenda, and James Lendai’s pledge to keep Stanford’s AI outputs open, contrasting with the closed nature of many industry labs. The conference also paid tribute to founding advisor Steve Denning, reinforcing the institute’s human‑centered mission. The merger positions Stanford to become the front door for AI‑enabled research, promising faster breakthroughs in health, climate, and fundamental physics. By fostering open, collaborative, and rigorous AI development, the institute aims to reshape academic practice, influence policy, and accelerate global scientific progress.