Leading AI Governance New York State's Adaptive Risk-Tiered Framework: POLICY BRIEF
N Sky Bell · Team Sky's the limit
Submitted to Georgia Tech AISI Policy Hackathon. Projects from partner hackathons are early-stage work by participants, not Apart Research publications.
The rapid advancement of artificial intelligence (AI) technologies presents unprecedented opportunities and challenges for governance frameworks worldwide. This policy brief proposes an Adaptive Risk-Tiered Framework for AI deployment and application in New York State (NYS) to ensure safe and ethical AI operations in high-stakes domains. The framework emphasizes proportional oversight mechanisms that scale with risk levels, balancing innovation with appropriate safety precautions. By implementing this framework, we can lead the way in responsible AI governance, fostering trust and driving innovation while mitigating potential risks. This framework is informed by the EU AI Act and NIST AI Risk Management Framework and aligns with current NYS Office of Information Technology Services (ITS) policies and NYS legislations to ensure a cohesive and effective approach to AI governance.
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@misc{bell2025leading,
title = {{Leading AI Governance New York State's Adaptive Risk-Tiered Framework: POLICY BRIEF}},
author = {N Sky Bell},
year = {2025},
month = apr,
note = {Submitted to Georgia Tech AISI Policy Hackathon, a partner hackathon},
howpublished = {\url{https://apartresearch.com/sprints/projects/leading-ai-governance-new-york-states-adaptive-risktiered-framework-policy-brief-wmqw}},
url = {https://apartresearch.com/sprints/projects/leading-ai-governance-new-york-states-adaptive-risktiered-framework-policy-brief-wmqw}
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