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.
This artificial intelligence (AI) use case publication requirement was first initiated by President Trump through Executive Order 13960 “Promoting the Use of Trustworthy Artificial Intelligence in the Federal Government” and further enhanced by President Biden’s Executive Order 14110 "Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence.” The Office of Management and Budget (OMB) Memoranda M-24-10 “Advancing Governance, Innovation, and Risk Management for Agency Use of Artificial Intelligence” establishes requirements and guidance for AI governance, innovation, and risk management.
Questions can be directed to HHS.CAIO@hhs.gov.
| Use Case Name | Stage of System Dev Life Cycle | Op Div/Staff Div |
|---|---|---|
| Artificial Intelligence-based Deduplication Algorithm for Classification of Duplicate Reports in the FDA Adverse Event Reports (FAERS) | Implementation and Assessment | FDA |
| OPPQ Policy Bot (AKA Policy and Guidance Documents Search) | Implementation and Assessment | FDA |
| Process Large Amount of Submitted Docket Comments | Implementation and Assessment | FDA |
| Real World Data/Evidence | Implementation and Assessment | FDA |
| AI/ML for Study Section Prediction in NICHD | Implementation and Assessment | NIH |
| AI-enabled landscape analysis of New Approach Methodologies (NAMs) in biomedical research literature | Implementation and Assessment | NIH |
| Automated annotation of study data using knowledge organization systems | Implementation and Assessment | NIH |
| Biomedical Citation Selector (BmCS) | Implementation and Assessment | NIH |
| Clinical Trial Predictor | Implementation and Assessment | NIH |
| DEXTR - automated data extraction tool | Implementation and Assessment | NIH |
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