29e8290a96c77ccb1131 · Challenges to the monitoring of deployed AI systems: Center for AI Standards and Innovation
Challenges to the monitoring of deployed AI systems: Center for AI Standards and Innovation
As artificial intelligence (AI) systems are increasingly integrated into commercial and government applications, there is a growing need to monitor these systems in real-world settings. Although pre-deployment evaluations are valuable for assessing AI
{
"title_en": "Challenges to the monitoring of deployed AI systems: Center for AI Standards and Innovation",
"designation": "",
"series": "",
"status": "",
"date": "2026-03-06",
"date_original": "March 6, 2026",
"url": "https://www.nist.gov/publications/challenges-monitoring-deployed-ai-systems-center-ai-standards-and-innovation",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Anita Rao , Andrew Keller , Neha Kalra, Ryan Steed , Kweku Kwegyir-Aggrey, Kevin Klyman, Diane Staheli, Amanda Bergman",
"abstract_excerpt_en": "As artificial intelligence (AI) systems are increasingly integrated into commercial and government applications, there is a growing need to monitor these systems in real-world settings. Although pre-deployment evaluations are valuable for assessing AI",
"id": "29e8290a96c77ccb1131",
"sources": [
"NIST Publications"
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{
"title_en": "Challenges to the monitoring of deployed AI systems: Center for AI Standards and Innovation",
"designation": "",
"series": "",
"status": "",
"date": "2026-03-06",
"date_original": "March 6, 2026",
"url": "https://www.nist.gov/publications/challenges-monitoring-deployed-ai-systems-center-ai-standards-and-innovation",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Anita Rao , Andrew Keller , Neha Kalra, Ryan Steed , Kweku Kwegyir-Aggrey, Kevin Klyman, Diane Staheli, Amanda Bergman",
"abstract_excerpt_en": "As artificial intelligence (AI) systems are increasingly integrated into commercial and government applications, there is a growing need to monitor these systems in real-world settings. Although pre-deployment evaluations are valuable for assessing AI"
}
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