NIST AI Safety Consortium (AISIC)
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This is the official NIST page for the U.S. AI Safety Consortium, a key government-industry coordination body for AI safety standards and evaluation frameworks; relevant for understanding U.S. federal AI governance infrastructure.
Metadata
Summary
The NIST AI Safety Consortium (AISIC) is a U.S. government initiative that brings together AI developers, industry stakeholders, academic researchers, and civil society to support the development of guidelines, tools, and benchmarks for safe and trustworthy AI. It serves as the primary implementation body for the U.S. AI Safety Institute's technical work, including red-teaming, evaluation methodologies, and risk management frameworks. The consortium operationalizes commitments made by major AI companies to advance AI safety standards.
Key Points
- •Established by NIST to coordinate public-private collaboration on AI safety guidelines and evaluation methodologies
- •Membership includes major AI developers (OpenAI, Google, Microsoft, Anthropic, Meta), civil society, and academic institutions
- •Supports development of red-teaming protocols, benchmarks, and risk assessment tools aligned with the NIST AI RMF
- •Serves as the technical backbone for the U.S. AI Safety Institute (AISI) voluntary AI safety commitments
- •Focuses on measurement science, standards development, and testing frameworks for frontier AI models
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| NIST and AI Safety | Organization | 63.0 |
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NIST AI Consortium | NIST
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https://www.nist.gov/artificial-intelligence/nist-ai-consortium
Artificial intelligence
NIST AI Consortium
The Consortium brings together more than 280 organizations to develop science-based and empirically backed guidelines and standards for AI measurement.
Building upon its long track record of working with the private and public sectors to develop reliable and practical measurement and standards-oriented solutions, NIST has partnered with organizations from industry, academia, and civil society to form a research partnership that supports the development of science based empirically backed guidelines and standards for AI measurement that lays the foundation for global AI metrology.
The NIST AI Consortium empowers the collaborative establishment of a new measurement science that will enable the identification of proven, scalable, and interoperable techniques and metrics to promote the development and use of AI.
Through this research partnership, NIST seeks to:
Establish a knowledge and data sharing space for AI stakeholders
Engage in collaborative and interdisciplinary research and development through the performance a collaborative research plan
Prioritize research and evaluation requirements and approaches that promote the development and use of AI.
Identify and recommend approaches to facilitate the cooperative development and transfer of technology and data between and among Consortium Members
Identify mechanisms to streamline input from federal agencies on topics within their direct purviews
Enable assessment and evaluation of test systems and prototypes to inform future AI measurement efforts
To create a lasting approach for continued joint research and development, the work of the consortium will be open and transparent and provide a hub for interested parties.
Membership Process
Participation in the consortium is open to all interested organizations that can contribute their expertise, products, data, and/or models to the activities of the consortium.
NIST will announce new opportunities to join the Consortium on its website and via its general AI email list. Sign up for Alerts .
Selected participants will be required to enter into a consortium Cooperative Research and Development Agreement (CRADA) with NIST. At NIST’s discretion, entities which are not permitted to enter into CRADAs pursuant to law may be allowed
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