PREP Research Associate - Artificial Intelligence Resource Center (AIRC) Metric Hub Development

PREP0003672

July 18, 2025

This project contributes to the development of the Metrics Hub within the NIST’s Trustworthy and Responsible Artificial Intelligence Resource Center (AIRC). The student will assist in collecting and packaging relevant metrics for AI testing, identifying key metadata that support the creation of accessible resources for the AIRC website, benefiting the broader AI community and the public. This project will support the operationalization of the NIST AI Risk Management Framework (AI RMF 1.0) by providing essential metrics for testing, evaluation, verification, and validation (TEVV) of AI systems.

 

Research Title:

AIRC Metric Hub Development

Key responsibilities will include but are not limited to:

  • Identify and collect relevant metrics for AI TEVV, aligning with the AI RMF 1.0
  • Curate the collected metrics, ensuring they are packaged, accessible and usable for the users of the AIRC website 
  • Help design relevant use cases that contextualize metrics for the border AI community 
  • Collaborate effectively with cross-functional and interdisciplinary stakeholders to ensure successful project outcomes

Deliverables:

  • A set of AI metrics are identified, packaged, and made available through the AIRC Metrics Hub.  Estimating 2-5 metrics per month
  • Draft document outlining at least one use case per metric that illustrates the practical application in AI testing

Qualifications

  • Familiarity with concepts related to testing, evaluation, verification, and validation (TEVV) of AI systems
  • Background in Computer Science, Statistics, HCI, or related field  
  • Education level: graduate student
  • Strong interest in metrics for AI systems
  • Familiarity with scientific reading and technical writing

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