HHS AI Use Case Inventory 2024
The Office of the Assistant Secretary for Technology Policy’s (ASTP) Office of the Chief Artificial Intelligence Officer (OCAIO) is responsible for leading the annual HHS AI use case inventory.
The Office of the Assistant Secretary for Technology Policy’s (ASTP) Office of the Chief Artificial Intelligence Officer (OCAIO) is responsible for leading the annual HHS AI use case inventory. The artificial intelligence (AI) use case publication requirement was initiated consistent with Executive Order 13960 "Promoting the Use of Trustworthy Artificial Intelligence in the Federal Government" and may be further enhanced by Office of Management and Budget (OMB) memoranda.
Questions can be directed to HHS.CAIO@hhs.gov.
| Use Case Name | Stage of System Dev Life Cycle | Op Div/Staff Div |
|---|---|---|
| AI-enabled landscape analysis of New Approach Methodologies (NAMs) in biomedical research literature | Implementation and Assessment | NIH |
| Applying for Grants Chat Bot | Initiated | NIH |
| Assessment of DTT/NTP research effectiveness | Acquisition and/or Development | NIH |
| Assisted Referral Tool | Operation and Maintenance | NIH |
| Autism Spectrum Disorder (ASD) Classification Model for Children using Deep Neural Network | Retired | NIH |
| Automated annotation of study data using knowledge organization systems | Implementation and Assessment | NIH |
| Automated approaches for table extraction | Retired | NIH |
| Automated Basic-Applied Categorization of extramural grants | Acquisition and/or Development | NIH |
| Automated extraction of study methods and assessment of reliability | Acquisition and/or Development | NIH |
| Automation of Receipt & Referral Process of NIDDK grant applications | Operation and Maintenance | NIH |