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Editorial · CASRAI · AI and ML research outputs

New York expands independent AI safety research network

New York outlined a statewide AI safety network on November 10, linking more than 80 researchers with Empire AI computing resources.

Published 14 Nov 2026· 2 minute read

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New York expanded its independent AI safety research effort on November 10, 2026, announcing a statewide network of more than 80 researchers around the New York Center for AI Responsibility and Research (NYCAIRR) at SUNY Binghamton. The center, first announced in January, will use Empire AI computing resources to evaluate advanced AI systems.

What changed between January and November

The governor’s January 21 announcement established the center’s funding foundation: a $30 million philanthropic gift from donors led by Binghamton alumnus Tom Secunda, paired with $25 million in SUNY research capital. The November announcement adds detail about statewide scientific coordination and independent testing.

Announcement Confirmed development
January 21, 2026 Center announced at Binghamton with philanthropic and SUNY capital support.
November 10, 2026 Statewide network, interim scientific leadership and an independent AI evaluation agenda outlined.

Greg Morrisett, dean and vice provost of Cornell Tech, and Jeannette Wing, Columbia University’s executive vice president for research, will serve as interim co-directors. Cornell’s November 11 account says they will guide the scientific agenda and oversee independent evaluations while building a network whose researchers continue working at their home institutions.

Independent testing and shared computing

The announced mission combines testing of frontier AI systems, foundational research and training for AI safety specialists. SUNY says the center aims to develop the scientific tools, measurements and standards needed to assess increasingly powerful systems. This makes evaluation methods themselves part of the research agenda; CASRAI’s model evaluation suite entry explains the related vocabulary.

Empire AI describes its role as giving New York researchers computing power for research serving the public good. Cornell identifies that infrastructure as support for NYCAIRR’s work. The network therefore brings together a scientific coordination structure and shared computing resources, with researchers remaining at their universities.

SUNY also identifies a national recruiting effort among the center’s first objectives. Its stated areas include formal methods and verification, agentic and complex systems, and interpretability and alignment.

What the network means for university research

For university research offices, the home-institution structure makes coordination across campuses a central feature of the initiative. In our assessment, the combination of shared resources and external testing makes evaluator independence an important lens for following the network’s future work.

The center also has a planned policy-facing role. SUNY says NYCAIRR will coordinate with New York’s Office of Digital Innovation, Governance, Integrity, and Trust (DIGIT) to review developers’ published safety frameworks and recommend ways to strengthen requirements. That is a prospective review activity. The November announcement describes an evaluation agenda, rather than reporting findings about any particular AI model.

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