Evaluations and benchmarks for assessing AI research and development capabilities of AI models

Closed Pre-Solicitation Posted

Solicitation number
CAW-AIRD-25
Agency
Responses due
Set-aside
No set-aside

Opportunity facts

Notice details come from SAM.gov. Updated .

About this opportunity

The National Institute of Standards and Technology (NIST) is conducting market research to identify potential sources for a contract focused on developing evaluations and benchmarks for assessing artificial intelligence (AI) model capabilities. Specifically, the U.S. AI Safety Institute (AISI) seeks a contractor to help develop resources for evaluating frontier AI models' software engineering and research and development capabilities. Key contract requirements include developing benchmarks, scoring mechanisms, evaluation tasks, and technical infrastructure to assess AI models' abilities in areas such as software development automation, research activity assistance, and infrastructure management. The evaluation will focus on capabilities like designing projects, identifying and correcting bugs, generating hypotheses, and managing large-scale model training processes. Responses to this sources sought notice are due by March 15, 2025, at 3:30 PM Eastern Time, with submissions limited to 15 pages and required to demonstrate detailed capabilities related to the potential contract requirements.

There is currently no set-aside designation for this opportunity, though the small business size standard is $19.0M, which could potentially change. Respondents must possess specific qualifications, including technical staff with 3-5 years of experience in artificial intelligence and previous experience executing assessments of frontier AI model capabilities. While no specific award value was disclosed, the contract will be categorized under NAICS code 541990 for Professional, Scientific and Technical Services. Interested companies must have an active SAM.gov registration and be prepared to provide comprehensive details about their company, including their Unique Entity Identifier, point of contact information, and demonstrated knowledge of the specified tasks. The procurement will likely be competitive, with NIST seeking to identify sources capable of providing sophisticated evaluation methodologies for cutting-edge AI technologies.

Notice text

This is a SOURCES SOUGHT NOTICE for market research purposes. THIS IS NOT A REQUEST FOR PROPOSALS OR A REQUEST FOR QUOTATIONS.

Artificial Intelligence (Al) is one of the defining technologies of our era. Its emergence, together with its multiplying contexts of use and increasing capabilities, presents enormous opportunities.

To enable the U.S. economy to harness the full benefits of AI, the National Institute of Standards and Technology (NIST) focuses on fundamental research and improving AI measurement science, technology, standards and related tools.[1]

The U.S. AI Safety Institute (AISI), housed within the National Institute of Standards and Technology, is developing testing, evaluations, and guidelines to help accelerate trustworthy AI innovation in the United States and around the world, with a focus on promoting measurement science for AI capabilities and helping to prevent flaws or misuses of AI technology that could undermine public safety or national security.[2]

As part of this work, AISI is conducting testing, evaluation, validation, and verification (TEVV) on high-impact frontier models’ capabilities. In doing so, AISI seeks to ensure that its projects, evaluations, and tools reflect the best available science, and to coordinate closely with a diverse set of Al stakeholders who are developing and conducting evaluations to assess capabilities, functionality, and risks.

NIST is performing market research to identify potential sources for an anticipated contract to assist in developing evaluations and benchmarks of AI models' relevant software engineering and AI research and development capabilities, functionality, and risks.

POTENTIAL CONTRACT REQUIREMENTS

The following requirements are provided to describe the Government's minimum needs. As the acquisition planning process proceeds, requirements may be modified.

The Contractor must provide or develop resources for various aspects of assessing the capability of frontier Al models to assist in software engineering and AI research and development, including by assessing the quality or functionality of AI-generated outputs in these domains and any corresponding risks.  The Contractor would be responsible to conduct one or more of the tasks in list A in order to assess one or more of the capabilities in list B.

Contractor Tasks:

Contractors must provide or develop resources for one or more of the following:

  1. Developing benchmarks and scoring mechanisms for automated evaluation of Al models' relevant capabilities;
  2. Developing tasks for automated evaluation of AI models’ relevant capabilities with accompanying data on human baseline performance (e.g., how long the tasks take human experts to complete);
  3. Design and implementation of protocols or methods for evaluating AI models’ relevant capabilities;
  4. Development of technical resources or infrastructure for generating tasks and environments and scoring mechanisms for evaluating AI models’ relevant capabilities.                     Relevant Model Capabilities:

Relevant frontier model capabilities to elicit, evaluate, and benchmark include:

  1. Capabilities that enable a model to assist with or automate software development activities such as designing and implementing projects based on specifications, identifying and correcting bugs, updating and refactoring code, or deploying code;
  2. Capabilities that enable a model to assist with or automate research activities associated with frontier AI model development, such as the ability to generate and test hypotheses relating to the design of AI models or to perform iterative experimentation;
  3. Capabilities that enable a model to assist with or automate engineering and infrastructure management activities associated with frontier AI model development, such as managing large-scale model training processes;
  4. Capabilities that enable a model to subvert or interfere with software or AI development or usage processes, such as by using sabotage, deception, or self-exfiltration;
  5. Other capabilities that are relevant to significantly assisting with or automating processes of software development or AI research and development, or that could create risks related to such processes.

INFORMATION FOR SUBMISSION

NIST is seeking responses from responsible sources. Responses are being sought from all business sizes.

After the results of this market research are obtained and analyzed, NIST may conduct a competitive procurement and subsequently award a contract.

The NAICS code for this effort is 541990 Professional, Scientific and Technical Services. The small business size standard is $19.0M. If a small business set-aside results, a Limitation on Subcontracting clause will be applicable to the anticipated procurement action. Businesses meeting the classification of the set-aside cannot pay more than 50% of the amount paid to it, by the Government, to firms that are not similarly situated.

Responses to this sources sought shall not exceed 15 pages in length and must demonstrate the respondent's capabilities related to the potential contract requirements; responses must be detailed  beyond a standard capability statement.

The following information must be provided in response to this sources sought notice:

  1. Name of company(ies), their addresses, Unique Entity Identifier (UEI) for the company's active System for Award Management (SAM.gov) website registration, and a point of contact for the company (name, phone number, fax number and email address) that provide the services for which information is provided.

           Interested parties that do not have an active SAM.gov registration are strongly encouraged                         to immediately begin the registration process. This process can take several weeks to                                 complete. Parties responding to Government solicitations must have an active registration at                      SAM.Gov in order for a quotation or proposal to be considered for award.

        2. Respondents must possess knowledge and capacity in some or all of the tasks (i)-(iv) included in                this sources sought, specifically as they pertain to assessing the relevant model capabilities listed              in  above. For each applicable task area A(i)-(iv), Respondents must provide discussion of their                  knowledge and capacity.

            Knowledge and capacity in using AI systems for related applications or in assessing AI systems                  for procurement purposes is not considered applicable.

       3.  In addition to having knowledge and capacity in some or all of the areas above, Respondents                      must have:

             (1) Previous experience executing on one or more of the actions and activities described above,                 specifically as they pertain to assessing the capabilities and/or risks of frontier Al models.

              (2) Technical staff with 3 – 5 years of experience working in artificial intelligence.

              (3) Potential labor categories, that may be used to accomplish the work. If the Contractor has                           performed similar work, please provide price information for the work performed. All                                     price information will be utilized for budgeting purposes All price information will be held by                         NIST as confidential.

              (4) Any other relevant information which the Government should consider in developing its                               minimum specifications and finalizing its market research.

The above information and any other information considered pertinent to this notification must be submitted to Carol Wood, Contracting Officer, not later than March 15, 2025, at 3:30 PM Eastern Time. Email submission is required.

[1] https://www.nist.gov/artificial-intelligence

[2] https://www.nist.gov/aisi

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