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Find similar grantsNIST Building Evaluation Probes into Agentic AI is sponsored by NIST. Develops automated tools to evaluate agentic AI outputs, ensuring factual grounding and traceability.
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NIST Information Technology Laboratory AI Webinar Series: Building Measurement Probes into Agentic AI Ecosystems | NIST https://www. nist.
gov/news-events/events/2026/04/nist-information-technology-laboratory-ai-webinar-series-building NIST Information Technology Laboratory AI Webinar Series: Building Measurement Probes into Agentic AI Ecosystems NIST Information Technology Laboratory AI Webinar Series: Building Measurement Probes into Agentic AI Ecosystems AI agents represent the next evolution of language models, capable of planning multi-step tasks, utilizing tools, searching databases, and making decisions autonomously.
As organizations integrate these agents into higher-stakes ecosystems, there is an urgent need for measurement tools that can trace the decisions agentic models make and verify their appropriateness. Traceability depends upon the ability to reconstruct the chain of reasoning, usage of tools, and other evidence behind an agent's decision.
The NIST Information Technology Laboratory (ITL) AI Program hosted a technical webinar on early research focused on developing automated measurement tools, called probes, to build traceability into agentic AI ecosystems. The approach adapts established techniques such as judges/verifiers, grounds them in a knowledge-base, and empowers them to evaluate agentic AI output.
The webinar discussed existing technical gaps in the measurement infrastructure of agentic AI systems. The team outlined initial research into a promising approach for applying concepts such as adversarial verifiers to better evaluate Agentic AI outputs. Participants are encouraged to identify practical measurement challenges they face with agentic AI.
The ITL team is seeking suggestions for potential use cases – including but not limited to those which are domain-specific – that would benefit from dynamic verification and help refine and expand the development of automated measurement of agentic AI systems.
Agentic AI Measurement Probe Demonstrator (GitHub) The AI Program in NIST’s Information Technology Laboratory (ITL) accelerates and expands development and adoption of AI by strengthening trust in AI through vital measurement science, testing and evaluation, guidance, and standards.
Advancing Testing, Evaluation, Verification, and Validation (TEVV) to ensure that AI is deployed and used responsibly, reliably, and efficiently Providing resources for managing AI benefits and risks , empowering industry, academia, non-profits, and government to make informed decisions about AI trustworthiness and use Positioning U.S. as preeminent in AI technical and governance standards , ensuring the U.S. leads global AI innovation Enabling U.S. to lead in applying AI to high-priority areas – including manufacturing and cybersecurity for critical infrastructure – via innovative approaches to address measurement challenges Artificial intelligence , AI measurement and evaluation , Applied AI , Machine learning and Trustworthy and responsible AI Created March 12, 2026, Updated April 15, 2026
According to the current listing, eligibility includes: Individuals with expertise in AI evaluation and verification. Confirm the full requirements in the official notice before applying.
NIST Building Evaluation Probes into Agentic AI is funded by NIST. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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