LAUNCHING IN 2023
Meta’s Open Loop program is excited to have launched its first policy prototyping research program in the United States, which is focused on testing the National Institute of Standards and Technology (NIST) AI Risk Management Framework (RMF) 1.0 to ensure that it is clear, implementable and effective at helping companies to identify and manage risks arising from generative AI.
This program gives participating companies the opportunity to learn about NIST's AI RMF, and to understand how it can be applied to managing risks associated with developing and deploying generative AI systems. At the same time, the program will gather evidence on current practices and provide valuable insights and feedback to NIST, which can inform future iterations of the RMF.
Leveraging the policy prototyping methodology developed by Open Loop the program incorporates both qualitative and quantitative testing methodology in two phases:
PHASE 1
PHASE 2
Leverage collaborative policy prototyping (testing proposed, hypothetical or real policy guidance within a structured program) methodologies to enable cohort members to apply and provide feedback on the NIST AI RMF in order to inform its future iterations as a practical tool for managing AI-related risks.
Inform the practical application of the NIST AI RMF among a diverse group of developers and users of Generative AI products and services, by unlocking insights, showcasing best practices and lessons learned, and by pinpointing gaps and opportunities.
Facilitate exchanges of ideas and solutions among AI companies, experts, and policymakers to drive the evolution of responsible and accountable AI practice.
AI companies across various sectors are encouraged to join the program. If your company is operating in the United States and developing or deploying Generative AI solutions, or if you’re considering doing so, you're an ideal candidate for participation. Join the program and stand alongside your peers in demonstrating your commitment to creating safe and trustworthy generative AI systems and products!
Provide feedback on how the NIST AI RMF helps companies integrate trustworthiness considerations into the development, deployment, and assessment of AI products, services, and systems, to better manage risks to individuals, organizations, and society associated with artificial intelligence.
Gain insights from peers, industry leaders, and policy experts during a series of collaborative discussions and deep dive workshops on specific AI topics.
Inform potential future iterations of the NIST AI RMF to foster innovative policies and effective implementation, considering the evolving AI landscape.
Showcase your company’s approaches to AI governance and share experiences in developing and implementing the AI RMF and/or other risk management frameworks.
Network with a vibrant community of responsible AI practitioners, thought leaders and AI companies.
We invite AI companies based and operating in the US to join the Open Loop US Program. By participating, you become part of a select cohort of AI leaders committed to co-creating and improving emerging AI policy solutions. You will work with industry leaders, experts, and policymakers to drive evidence-based, inclusive, and innovative governance models.
To express your interest and learn more about getting involved as a participating company or observer, please fill out the short application form below. We will follow up over email shortly.
The first phase will commence in early 2024. We will release an interim report with preliminary findings. A final report with key learnings and recommendations arising from the program will be published at the end of the program.
Meta’s Open Loop is a global program that connects policymakers and technology companies to help develop effective and evidence-based policies around AI and other emerging technologies.
Through experimental governance methods, Meta’s Open Loop members co-create policy prototypes and test new or existing approaches to policy, guidance frameworks, regulations, and laws. These multi-stakeholder efforts improve the quality of rulemaking processes by ensuring that new guidance and regulation aimed at emerging technology are effective and implementable.
Open Loop has been running theme-specific programs to operationalize trustworthy AI across multiple verticals, such as Transparency and Explainability in Singapore and Mexico, and Human Centered-AI with an emphasis on stakeholder engagement in India. Beyond AI, we are also testing a playbook to promote the adoption of Privacy Enhancing Technologies in Brazil and Uruguay.
Meta’s Open Loop program has partnered with Accenture and will work closely with other prominent industry players and other organizations in the US. Our collaborative efforts extend to include experts from international organizations, NIST, civil society organizations, academia, and more. Each of these contribute to the program's comprehensive knowledge base and holistic approach. Through these strategic partnerships, we aim to collectively drive the advancement of AI risk management and foster a well-rounded understanding of responsible AI practices.
Should you have any questions, please feel free to get in touch
The program consists of online meetings and surveys over the course of Q1 and Q2 2024. If you would like to join the program as a participating company, we ask you to commit to attending at least one online “deep dive” workshop session in Q1 and to completing a multi-part online survey in Q2. This equates to approximately 1-2 hours of online work per month for two AI leaders within your organization who drive and implement Generative AI or AI risk management at your company. The structure of the company will determine which “functions” these people should be drawn from, but they should be individuals with practical experience of implementing risk management at your company at the product level.
Your company will need to:
We understand that it can be complicated, particularly in large organizations, to gather all of the required approvals needed to participate in a open program such as this. In order to facilitate the inclusion of as many companies as possible in this research, the entire program will be conducted under “Chatham House Rules''.
In practice this means:
The ideal company representative leads or is responsible for AI Risk Management efforts within their organization, whether from policy, legal or product teams.
