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Artificial Intelligence (AI) Use Case Inventory

Executive Order 13960, "Promoting the Use of Trustworthy Artificial Intelligence in the Federal Government," requires agencies to publish annual inventories of non-classified and non-sensitive artificial intelligence (AI) use cases.

In compliance with this executive order and further guidance provided by the Chief Information Officer Council, this page lists AI use cases that the U.S. National Science Foundation uses to advance its mission, enhance decision making or otherwise benefit the public. This list is also linked in a tabular format.

For more information, please contact NSF's chief AI official, Dorothy Aronson, at daronson@nsf.gov or (703) 292-4299.

On this page:

NSF's 2023 AI USE CASE INVENTORY

Updated May 2024

Use case ID: AII-7
Managing organization: Office of Information and Resource Management & Department of Information Systems (OIRM/DIS)
Stage of development: Implemented
Date implemented: 2023
Service Now Gen AI "Now Assist"
ServiceNow GenAI is a FedRAMP High certified system to accelerate digital transformation using Now Assist. Automatically generate content such as responses, work notes, and knowledgebase articles related to customer service experience. Increase productivity and speed to delivery with intelligent recommendations. Resolve issues swiftly with chatbots that understand human language.

Use case ID: AII-8
Managing organization: Computer and Information Science and Engineering (CISE)
Stage of development: Operation and maintenance
Date implemented: 2023
Budget Area Topic Classification Tool
The Budget Area Topic Classification Tool uses a pre-trained BERT model ('bert-base-uncased') to classify proposals into 1 of 8 budget areas: Advanced Manufacturing, AI, 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 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 final classification for a given proposal.

Use case ID: AII-9
Managing organization: Office of Legislative & Public Affairs (OLPA)
Stage of development: Operation and maintenance
Date implemented: 2023
AI Voice Over
Wellsaid has been used in our last projects to generate temporary placeholder voice over, which will be replaced later by real voice over, so it doesn't cause many AI policy concerns. On top of the typical text to voice conversation, 11 Lab allows users to train their own voice over, which sounds to have a potential to reshape our workflow, with the proper supervision and regulation.

Use case ID: AII-10
Managing organization: Office of Legislative & Public Affairs (OLPA)
Stage of development: Development
Date implemented: 2023
Adobe Photoshop
OLPA's Creative Services team will use Photoshop's AI-powered tools to refine edits of photos and graphics, particularly the retouching of portraits.