Advancing AI Safety: NIST Calls for Collaboration
The U.S. Department of Commerce's National Institute of Standards and Technology (NIST) is taking a proactive approach to ensure the safety and trustworthiness of artificial intelligence (AI) systems. Through the newly established U.S. AI Safety Institute consortium, NIST is inviting organizations to collaborate and contribute their expertise in evaluating AI systems. This collaborative effort aims to enhance the understanding and evaluation of AI capabilities, ultimately benefiting society while safeguarding safety and privacy.
Enhancing AI Safety Through Collaboration
Join the U.S. AI Safety Institute consortium to contribute to the development of innovative evaluation methods for AI systems.
As AI technology continues to advance at a rapid pace, ensuring its safety and trustworthiness becomes paramount. The U.S. AI Safety Institute consortium, led by the National Institute of Standards and Technology (NIST), offers a unique opportunity for organizations to collaborate and shape the future of AI safety.
By joining this consortium, you can contribute your expertise in areas such as AI metrology, responsible AI, AI system design and development, and more. Together, we can develop ways to test and evaluate AI systems, ensuring that they are safe, trustworthy, and beneficial to society.
Are you ready to be part of the AI safety revolution? Join the U.S. AI Safety Institute consortium today and make a difference in shaping the future of AI.
Building a Foundation for Trustworthy AI
Harness the AI Risk Management Framework (AI RMF) to manage the risks associated with AI systems.
Trustworthiness is a crucial aspect of AI systems. To build a foundation for trustworthy AI, NIST has developed the AI Risk Management Framework (AI RMF). This framework provides organizations with a voluntary resource to manage the risks associated with their AI systems.
By utilizing the AI RMF, organizations can assess and mitigate risks, making their AI systems more responsible and accountable. It offers guidance on authenticating content created by humans, watermarking AI-generated content, and provides benchmarks for evaluating and auditing AI capabilities.
With the AI RMF as a foundation, organizations can ensure that their AI systems are trustworthy, benefiting both users and society as a whole.
Collaborative Research for AI Measurement
Contribute models, data, and expertise to support collaborative research on AI measurement.
The U.S. AI Safety Institute consortium is a hub for collaborative research and development in the field of AI measurement. As a member, you can contribute your models, data, and expertise to support the development of innovative evaluation methods.
Together, we can strengthen the scientific underpinnings of AI measurement, ensuring that AI advancements benefit all people in a safe and equitable way. Whether you specialize in AI explainability, socio-technical methodologies, or economic analysis, your contributions are valuable in shaping the future of AI.
Join the consortium today and be part of the cutting-edge research that will shape the future of AI measurement.
Conclusion
The U.S. AI Safety Institute consortium, led by NIST, is driving the advancement of AI safety and trustworthiness. Through collaboration and the development of innovative evaluation methods, we can ensure that AI systems are safe, responsible, and beneficial to society.
By joining the consortium, organizations have the opportunity to contribute their expertise, models, and data to shape the future of AI measurement. Together, we can build a foundation for trustworthy AI and navigate the complexities and challenges that arise with AI advancements.
Join the U.S. AI Safety Institute consortium today and be part of the transformative journey towards safe and trustworthy AI.
FQA
What is the purpose of the U.S. AI Safety Institute consortium?
The U.S. AI Safety Institute consortium aims to enhance the safety and trustworthiness of AI systems through collaboration and the development of innovative evaluation methods.
How can organizations contribute to the consortium?
Organizations can contribute their expertise, models, data, and infrastructure support to the consortium. They can also provide facility space for hosting consortium researchers, workshops, and conferences.
What is the AI Risk Management Framework (AI RMF)?
The AI Risk Management Framework (AI RMF) is a voluntary resource developed by NIST to help organizations manage the risks associated with their AI systems. It provides guidance on authentication, watermarking, and benchmarks for evaluating and auditing AI capabilities.
How does the consortium promote collaborative research?
The consortium serves as a hub for collaborative research and development in the field of AI measurement. Members can contribute their models, data, and expertise to support the development of innovative evaluation methods.