AI Safety Institute Consortium (AISIC)
governmentCredibility Rating
5/5
Gold(5)Gold standard. Rigorous peer review, high editorial standards, and strong institutional reputation.
Rating inherited from publication venue: NIST
AISIC is the U.S. government's primary multi-stakeholder body for AI safety standards development, closely tied to the NIST AI Risk Management Framework and the broader federal AI governance agenda.
Metadata
Importance: 62/100homepage
Summary
The NIST AI Safety Institute Consortium (AISIC) is a public-private partnership of over 280 organizations working to develop science-based measurement standards and evaluation methods for AI safety. Led by the U.S. National Institute of Standards and Technology, it conducts collaborative research to establish scalable metrics, benchmarks, and guidelines for AI systems. The consortium serves as a key institutional mechanism for operationalizing AI safety standards across industry, academia, and civil society.
Key Points
- •Brings together 280+ organizations from industry, academia, and civil society under NIST leadership to advance AI safety measurement science.
- •Aims to create shared knowledge spaces, collaborative research frameworks, and scalable metrics for evaluating AI systems.
- •Supports development of global AI metrology standards through transparent, open research and technology transfer.
- •Functions as a primary institutional vehicle for implementing recommendations from the NIST AI Risk Management Framework.
- •Represents a significant U.S. government effort to coordinate AI safety standards across public and private sectors.
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| US AI Safety Institute (now CAISI) | Organization | 91.0 |
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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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