Enhance the security and privacy of machine learning models through adversarial research, robust benchmarks, and open-source tools for AI safety engineers.
Frontier Model Forum
Establish robust safety standards for the most advanced AI systems through collaborative research and cross-sector information sharing to mitigate global risks.
Paid price not published
Free
About Frontier Model Forum
The Frontier Model Forum (FMF) is a specialized industry-supported non-profit organization focused on the safety and security of the world’s most advanced artificial intelligence systems. Established in 2023 by industry leaders such as OpenAI, Anthropic, Google, and Microsoft, the forum operates as a collaborative hub for defining the safety boundaries of frontier AI. These are general-purpose models that represent the current state-of-the-art or outperform existing widely deployed systems. The FMF serves as a critical bridge between the technical expertise of the private sector and the regulatory needs of the public sector, ensuring that as AI capabilities grow, the methods to secure them evolve in tandem. The core functionality of the Frontier Model Forum is divided into three primary mandates: identifying best practices, advancing safety science, and facilitating information sharing. In practice, this involves the creation of rigorous Frontier Capability Assessments. These procedures are designed to detect if a model has developed dangerous capabilities, such as the ability to assist in the creation of chemical, biological, radiological, or nuclear (CBRN) weapons, or the capacity to execute advanced cyberattacks. By standardizing these evaluations, the FMF provides a benchmark that ensures all high-level models are held to a similar safety standard before and after deployment. This platform is primarily designed for high-level stakeholders, including government officials, academic researchers, and safety professionals within the AI industry. It provides these groups with a structured environment to share findings on threat models and mitigation strategies without the pressures of commercial competition. For policymakers, the forum offers a reliable source of technical documentation, such as the Frontier Capability Assessments technical report, which helps translate complex AI behaviors into actionable safety standards. For the broader scientific community, it serves as a foundation for independent research into model evaluations and thresholds. What distinguishes the Frontier Model Forum from individual corporate safety initiatives is its collective and transparent approach to high-stakes risk. While each member company maintains its own internal safety protocols, the FMF works to establish a shared understanding of thresholds and mitigations that apply across the entire industry. Its unique definition of frontier models—which includes systems that outperform benchmarks over a 12-month trailing period—ensures that the organization’s scope is inclusive of emerging players while remaining focused on the systems with the greatest potential impact on global security.
Frontier Model Forum pros & cons
Pros
- Includes participation from major industry leaders like OpenAI and Google
- Provides clear technical reports on AI capability assessments
- Focuses on high-stakes security risks like CBRN and cyber threats
- Operates as a non-profit dedicated to public safety rather than lobbying
- Facilitates standardized safety evaluations across different AI labs
Cons
- Access to certain forum initiatives and technical workstreams is restricted to paying member firms
- The definition of frontier AI focuses exclusively on high-performance general-purpose models
- As a research forum, it provides frameworks rather than automated software tools for safety implementation
Frontier Model Forum use cases
- Government policymakers can utilize FMF technical reports and best practices to inform national security regulations and safety standards for AI deployment.
- AI safety researchers can access standardized capability assessment frameworks to improve the detection of hazardous model behaviors, such as CBRN weapon facilitation.
- Security professionals at AI labs can collaborate through the forum's workstreams to share information on emerging cyber threats and establish industry-wide safety thresholds.
Frontier Model Forum features
- cross-sector collaboration
- industry-led safety research
- standardized evaluation benchmarks
- technical safety reporting
- information sharing framework
- best practices development
- cbrn risk mitigation research
- frontier capability assessments
Frontier Model Forum pricing
Is Frontier Model Forum free? Yes, Frontier Model Forum has a free plan.
Public Resources
Free
- Technical report access
- Best practices documentation
- Research publications
- Annual safety updates
- Mission insights
Industry Membership
Price varies
- Technical expertise sharing
- Operational collaboration
- Standards development
- Participation in workstreams
- Governance board eligibility
- Information sharing network
Frontier Model Forum FAQs
What constitutes a frontier AI model according to the Forum?
The FMF defines a frontier AI model as a general-purpose model that outperforms all other models widely deployed for at least 12 months based on conventional benchmarks. This definition is intended to be expansive enough to include a wide set of stakeholders who can contribute to safety work.
Does the Frontier Model Forum engage in political lobbying?
No, the Forum is an industry-supported 501(c)(6) non-profit that provides public benefits related to AI safety and security. It explicitly states that it does not engage in lobbying activities as part of its mission.
What specific safety risks does the Forum address?
The organization focuses on significant risks to public safety and national security, specifically those related to CBRN weapons and advanced cyber threats. It also evaluates models for categories of advanced autonomous behavior that could pose security challenges.
Who are the current member organizations of the Forum?
The Frontier Model Forum is supported and funded by major AI industry leaders including Amazon, Anthropic, Google, Meta, Microsoft, and OpenAI. These companies draw on their technical expertise to collaborate on safety and security standards.
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