The Effect of Minimal and Maximal Metadata Context on AI Response

Details

• Creators:
  Kopp, Brandon ; Medalia, Carla ; Quistorff, Brian
• Corporate Creators:
  United States. Federal Committee on Statistical Methodology
• Subject/TRT Terms:
  • Artificial intelligence
  • Metadata
  • Statistics
  • Data
  • Federal government
• Publication/ Report Number:
  FCSM-26-02
• DOI:
  https://doi.org/10.21949/6txs-6p32
• Resource Type:
  Brief
• Geographical Coverage:
  United States
• Corporate Publisher:
  United States. Federal Committee on Statistical Methodology
• Abstract:
  As Artificial Intelligence (AI) systems and tools proliferate, more people are using them as a primary source of information. These systems now serve as intermediaries between the public and the statistical data provided by the federal statistical system. The Federal Committee on Statistical Methodology (FCSM) seeks to help agencies improve the AI-readiness of their data products and make them not only machine readable but also machine understandable. One crucial aspect of AI-readiness is the availability, amount, and comprehensiveness of metadata that accompanies statistical products.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/93621/dot_93621_DS1.pdf
• File Type:
  [PDF - 195.14 KB]
• Collection(s):
  FCSM
• Main Document Checksum:
  urn:sha-512:dce0cd8d883202c34018dc2007e4cdae86e8afdc16536b5d36e0b3364a512fa284e57d284c546dce95b4ea3056e86953e96edf75f31c22e9cbe50d84668103b9