Budget Area Topic Classification Tool
National Science Foundation · Directorate for Computer and Information Science and Engineering (CISE)
Overview
- Development stage
- In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
- High-impact designation
- Not reported
- Impact justification
- Not reported
- Start date
- 2023 (year precision)
- Withheld from public reporting
- Not reported
Mission
- Topic area
- Not reported
- Operational functions
- No function tag matched Derived by keyword rules; see methodology
Problem the AI is intended to solve
The Budget Area Topic Classification Tool uses a pre-trained Bidirectional Encoder Representations from Transformers (BERT) model ('bert-base-uncased') to classify proposals into 1 of 8 budget areas: Advanced Manufacturing, Artificial Intelligence, Advanced Wireless, Clean Energy, Microelectronics & Semiconductors, Quantum, or Trustworthy AI. This approach is semi-supervised in nature as the training data is comprised of pre-tagged Computer and Information Science and Engineering (CISE) proposals from prior years. Upon training the model to learn the multi-label structure of the underlying data, the model's accuracy and discriminatory power was tested using a hold-out sample (i.e., 80/20 split). The model outputs a numerical vector of probabilities representing the likelihood that a given proposal belongs to 1 or more categories. A cut-off value can then be set for determining the final classification for a given proposal.
Expected benefits
Not reported
System outputs
Not reported
Technology
- AI classification
- Not reported
- System name(s)
- Not reported
- Custom-developed code
- Not reported
- Public source code
- Not reported
Sourcing
- How it was built
- Not reported
- Vendor (as reported)
- Not reported
- Vendors (standardized)
- None on the standard list
A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.
Data and privacy
- Involves PII
- Not reported
- Privacy Impact Assessment
- Not reported
- Authorization to Operate
- Not reported
- Demographic features
- Not reported
- Training and evaluation data
- Not reported
- Federal Data Catalog
- Not reported
Governance
0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.
Potential impacts and how they were identified
Not reported