Workshop on the Use of Natural Language in Supervision
March 24-25, 2019
Federal Reserve Bank of Richmond, Baltimore Branch, Baltimore, Maryland
Given the rapid pace of technological change, the Federal Reserve is committed to improving the efficiency of the System’s resources and processes while seeking innovation and IT solutions, and assessing the risks associated with complex technologies. One of the opportunities being explored, is the use of Natural Language Processing (NLP) technology in our supervisory processes. As a branch of Artificial Intelligence, NLP enables computers to understand and interpret human language in a variety of forms. Considering that banking supervision carries large extents of unstructured data, NLP could help our professionals analyze information by assessing it in forms of speech or text, determining which parts are important, and even identifying positive, negative or neutral sentiments in the content.
To identify and discuss the potential and possibilities of Natural Language Processing in supervision, the Federal Reserve is hosting a workshop on March 24-25, 2020. In addition to Federal Reserve staff, there will be representatives from multiple regulatory agencies, including the Bank of England and European Central Bank. The workshop will be held at the Baltimore branch of the Federal Reserve Bank of Richmond.
Note that attendance at the conference is by invitation only, and capacity is limited.
If you have received an invite, please RSVP with your name, title, and email to: NLP-in-Supervision@frb.gov
- Allen North, St. Louis - RBO/CBO
- Caterina Petrucco-Littleton, Board – DCCA
- Danielle Vacarr, New York - LISCC G&C
- Lisa Ryu, Board - Cross Portfolio
- Milt Simpson, San Francisco - Risk
- Richard Naylor, Board - LFBO
- Lauren Hargraves (FRS), New York - LISCC DST
- Ann Thompson, Board - DCCA
- Anna Yagi Pitzer, Board - NLP Workshop PM
- Claire Labonne, Boston - LISCC MAP
- Eric Reckamp, St. Louis - RBO/CBO
- Gayla Hernandez, Kansas City - SNC
- Michael Lipman, Board – LFBO