12/16/2024 | News release | Distributed by Public on 12/16/2024 08:34
It's that time of the year when we all close out annual processes. In this case, we at the Office of the Assistant Secretary for Technology Policy (ASTP) through the hard work of our Office of the Chief Artificial Intelligence Officer (OCAIO) are pleased to let you know that HHS' 2024 AI Use Case Inventory is available for review.
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" and its implementing Office of Management and Budget (OMB) Memoranda M-24-10 "Advancing Governance, Innovation, and Risk Management for Agency Use of Artificial Intelligence."
Here are three quick points about the 2024 inventory. But first, a big thank you to our colleagues across HHS who made this process possible.
In comparison to our 2023 AI use case inventory, which included 163 use cases, the 2024 inventory now includes 271, representing a 66% increase. It's important to keep in mind that use cases come in various sizes and are at various development stages. Out of the 271 use cases, 59 are "Initiated," 57 are in "Acquisition and/or Development," 35 are in "Implementation and Assessment," 104 are in "Operation and Maintenance," and 16 are "Retired."
The 2024 AI use case inventory includes a range of additional information beyond just use case summaries. It includes information on, data, IT infrastructure, internal governance, and much more.
Now with the 2024 AI use case inventory release in our rear-view mirror, we have already started our planning for the 2025 inventory and improvements. We will also be using this curated list to engage our sister agencies and execute additional ongoing responsibilities included in M-24-10, including working with them, where applicable and appropriate, to share their AI code, models, and data.