Communicating Generative AI Use in Federal Statistical Products

Details

• Creators:
  Ortman, Jennifer M. ; Rogers, Benjamin ; Medalia, Carla ; Quistorff, Brian
• Corporate Creators:
  United States. Federal Committee on Statistical Methodology
• Subject/TRT Terms:
  • Artificial intelligence
  • Statistics
  • Machine learning
  • Federal government
  • Statistical reliability
  • Statistical analysis
  • Data quality
  • Generative AI
  • Federal statistics
• Publication/ Report Number:
  FCSM-26-01
• DOI:
  https://doi.org/10.21949/wfqt-2e90
• Resource Type:
  Brief
• Geographical Coverage:
  United States
• Corporate Publisher:
  United States. Federal Committee on Statistical Methodology
• Abstract:
  The Federal Committee on Statistical Methodology (FCSM) is publishing this brief to provide recommendations for agencies seeking to communicate meaningful GenAI contributions in the production of federal statistical products. It is intended as a practical resource rather than a formal standard or policy. As GenAI adoption grows, federal statistical agencies have an opportunity to promote transparency, scientific integrity, and public trust by communicating clearly when there are meaningful contributions of these tools in the development and production of statistical products. These recommendations are intended to complement, not replace, any mandatory requirements for agencies to report or document their use of AI.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/93539/dot_93539_DS1.pdf
• File Type:
  [PDF - 386.29 KB]
• Collection(s):
  FCSM
• Main Document Checksum:
  urn:sha-512:1af31fbdcd23f48ee85412844a06e705fdd28a416a0aab3f803e83defc79102bb5fb74612a6274de82aba1e5efce52cd725d58e868d901574401fda0f05ec522