Post-bacc
Project
PREP0003672
Overview
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.
IRC Metric Hub Development
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: BS
- Strong interest in metrics for AI systems
- Familiarity with scientific reading and technical writing.
Research Proposal
Key Responsibilities
- 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.
NIST Sponsor
Mark A. Przybocki
Group
Information Access - HQ
Salary / Hourly Rate {Min}
$20.00
Schedule of Appointment
Part time
Start Date
Sponsor email
Work Location
Onsite NIST
Salary / Hourly rate {Max}
$30.00
Total Hours per week
20
End Date