Printed from https://fiscalreceipts.com/program/0606135D8Z/ — data as of August 12, 2026. Every figure is citation-backed; see the page online for per-number provenance.
Chief Digital and Artificial Intelligence Officer (CDAO) Activities
Budget Figures
FY2026 award data is a partial year — USASpending awards are reported on a rolling basis and the fiscal year does not close until September 30. why partial FY2026 data? →
| Fiscal year | Amount |
|---|---|
| FY24 | $13.0MR-1 TOA · PB2026 |
| FY25 | $9.26MR-1 TOA · PB2026 |
| FY26 | $0P-40 detail · PB2026 |
The vertical scale does not start at zero: the baseline sits just below this program’s smallest year, so a low point on this line is not a small amount. Read the shape for direction and the grid below for the figures.
● actuals (line) · ○ enacted · ◇ request — gaps are editions the program is absent from, never interpolated.
| Series | FY21 | FY22 | FY23 | FY24 | FY25 |
|---|---|---|---|---|---|
| Actuals | $0 | $0 | $12.4M | $13.0M | |
| Enacted | – | $0 | $13.1M | $17.2M | $9.26M |
| Request | – | – | $13.1M | $17.2M | $9.26M |
blank = series not published for this year; – = absent from that edition.
Asked vs spent: the PB2024 book requested $17.2M for FY2024; the PB2026 book reported $13.0M as actual total obligation authority — $4.29M below the request. 12.96 − 17.25 = -4.29 USD millions — the compact figures above are rounded for reading.
Program Lineage
No predecessor/successor lineage was recorded for this program element — no FY-to-FY transfer into or out of this line was stated in the ingested J-books, and none was inferred from the program structure.
Description
Mission — Chief Digital and Artificial Intelligence Officer (CDAO) Activities
The Chief Digital and Artificial Intelligence Officer (CDAO) supports the Department's initiatives to build an enduring competitive advantage, while forging a resilient Joint Force and defense ecosystem. The CDAO is responsible for strengthening and integrating data, artificial intelligence, and digital solutions in the Department in support of the interim National Defense Strategy and Section 1513 of the National Defense Authorization Act (NDAA) for FY 2023. The CDAO Responsible AI (RAI) Division ensures the Department is provided with the technical tools and resources efficiently assess and assure its AI-enabled capabilities, to support rapid fielding of capabilities that are lethal, performant, and reliable. The CDAO RAI Division supports the strategic priority of addressing institutional management priorities, the strategic objective of strengthening governance and removing policy barriers, and the performance goal of overseeing the development, acquisition, testing, and integration of Responsible AI and AI Assurance tools and processes across the DoD, as outlined by the Responsible AI Strategy & Implementation Pathway (S&IP). The CDAO Responsible AI (RAI) Division is the Department’s lead for Responsible AI and AI Assurance, including managing the Department’s AI Assurance Portal (which provides access to the AI testing and monitoring tools, resources, and artifacts from across the Department), leading the development of technical tools, best practices, resources, governance, and strategy & policy guidance related to responsible AI and AI Assurance; and leads the Department’s work on AI Assurance Policy (established by the CDAO Charter). The RAI Division fulfills the functions of both RAI Capability Development and the building of an RAI Customer Ecosystem. The RAI Division provides critical tools and infrastructure and best practices to all DoD Partners. This includes the building and release of the RAI Toolkit and RAI Toolkit Web Application, the AI Assurance Portal, DoD Data and Model Card Templates and supporting software, the DoD’s Frontier AI Red Teaming Program (for the AI RCC), technical guardrails and benchmarks for Frontier AI, enterprise-wide AI Assurance Tools, RAI & AI Assurance support to the Services, the development and validation of the Department’s AI Assurance policies, and various technical resources for topics including Red Teaming, Human Machine Teaming, Stakeholder Engagement, Risk Management, etc. Additionally, CDAO RAI Division has built and continues to grow the DoD RAI Ecosystem, through chairing the Department’s RAI Working Council, leading the DoD’s RAI Community of Interest, Chairing (through appointment by the White House) the Federal Government’s CAIO AI Risk Management Working Group, co-chairing NATO’s working group on AI Assurance, and leadership of other AI Assurance projects and bodies within the inter-agency and internationally. In FY26 and beyond, the CDAO RAI Division will continue to integrate best practices and guidelines on developing AI technologies and build them into modular RAI Toolkits and to address specific Use Cases addressed to the Department’s most urgent needs around lethality and efficiency. This work will be highlighted in FY25, as the RAI Division will run multiple RAI Toolkit validation experiments and pilots with our DoD partners, integrate those lessons learned into RAI Toolkit V2, while providing specific Toolkits to address frontier AI and DoDD 3000.09 Autonomy in Weapon Systems. Throughout the FYDP, RAI Division will continue to build and integrate the RAI Ecosystem, through industry, inter-agency, and international leadership including leading the stand up of a collaboration with the leading AI Labs on frontier AI Red Teaming (in support of the AI RCC), standing up a frontier AI policy experimentation and validation initiative with the leading AI Labs, chairing the Federal Government’s Chief AI Officer Council Risk Practices Working Group (which sets the recommended risk process and resources for the government to meet White House policy and requirements), and the RAI Development Group (RAIDG) (which provides technical and developer support on key RAI issues to priority DoD projects).
Mission — Artificial Intelligence & Machine Learning Technologies
The RAI Division fulfills the functions of both RAI Capability Development and the building of an RAI Customer Ecosystem. The RAI Division provides critical tools and infrastructure and best practices to all DoD Partners. This includes the building and release of the RAI Toolkit and RAI Toolkit Web Application, the DoD’s AI Assurance Portal, DoD Data and Model Card Templates and supporting software, the DoD’s Frontier AI Red Teaming Program (for the AI RCC), technical guardrails and benchmarks for Frontier AI, enterprise-wide AI Assurance Tools, RAI & AI Assurance support to the Services, the development and validation of the Department’s AI Assurance policies, and various technical resources for topics including Red Teaming, Human Machine Teaming, Stakeholder Engagement, Risk Management, etc. Additionally, the CDAO RAI Division has built and continues to grow the DoD RAI Ecosystem, through chairing the Department’s RAI Working Council, leading the DoD’s RAI Community of Interest, co-chairing NATO’s AI Assurance body, leading the DoD’s RAI Academic Council, and chairing (by appointment of the White House) the working group responsible for assembling the process and resources for the inter-agency to comply with White House AI Risk Requirements.
Mission — Responsible AI
The RAI Division fulfills the functions of both RAI Capability Development and the building of an RAI Customer Ecosystem. The RAI Division provides critical tools and infrastructure and best practices to all DoD Partners. This includes the building and release of the RAI Toolkit and RAI Toolkit Web Application, the DoD’s AI Assurance Portal, DoD Data and Model Card Templates and supporting software, the DoD’s Frontier AI Red Teaming Program (for the AI RCC), technical guardrails and benchmarks for Frontier AI, enterprise-wide AI Assurance Tools, RAI & AI Assurance support to the Services, the development and validation of the Department’s AI Assurance policies, and various technical resources for topics including Red Teaming, Human Machine Teaming, Stakeholder Engagement, Risk Management, etc. Additionally, the CDAO RAI Division has built and continues to grow the DoD RAI Ecosystem, through chairing the Department’s RAI Working Council, leading the DoD’s RAI Community of Interest, co-chairing NATO’s AI Assurance body, leading the DoD’s RAI Academic Council, and chairing (by appointment of the White House) the working group responsible for assembling the process and resources for the inter-agency to comply with White House AI Risk Requirements.
Justification
Accomplishments & Planned Programs (2)
Responsible Artificial Intelligence (RAI) / Artificial Intelligence & Machine Learning Technologies
The RAI Division fulfills the functions of both RAI Capability Development and the building of an RAI Customer Ecosystem. The RAI Division provides critical tools and infrastructure and best practices to all DoD Partners. This includes the building and release of the RAI Toolkit and RAI Toolkit Web Application, the DoD’s AI Assurance Portal, DoD Data and Model Card Templates and supporting software, the DoD’s Frontier AI Red Teaming Program (for the AI RCC), technical guardrails and benchmarks for Frontier AI, enterprise-wide AI Assurance Tools, RAI & AI Assurance support to the Services, the development and validation of the Department’s AI Assurance policies, and various technical resources for topics including Red Teaming, Human Machine Teaming, Stakeholder Engagement, Risk Management, etc. Additionally, the CDAO RAI Division has built and continues to grow the DoD RAI Ecosystem, through chairing the Department’s RAI Working Council, leading the DoD’s RAI Community of Interest, co-chairing NATO’s AI Assurance body, leading the DoD’s RAI Academic Council, and chairing (by appointment of the White House) the working group responsible for assembling the process and resources for the inter-agency to comply with White House AI Risk Requirements.
Responsible Artificial Intelligence (RAI) / Artificial Intelligence & Machine Learning Technologies
The RAI Division fulfills the functions of both RAI Capability Development and the building of an RAI Customer Ecosystem. The RAI Division provides critical tools and infrastructure and best practices to all DoD Partners. This includes the building and release of the RAI Toolkit and RAI Toolkit Web Application, the DoD’s AI Assurance Portal, DoD Data and Model Card Templates and supporting software, the DoD’s Frontier AI Red Teaming Program (for the AI RCC), technical guardrails and benchmarks for Frontier AI, enterprise-wide AI Assurance Tools, RAI & AI Assurance support to the Services, the development and validation of the Department’s AI Assurance policies, and various technical resources for topics including Red Teaming, Human Machine Teaming, Stakeholder Engagement, Risk Management, etc. Additionally, the CDAO RAI Division has built and continues to grow the DoD RAI Ecosystem, through chairing the Department’s RAI Working Council, leading the DoD’s RAI Community of Interest, co-chairing NATO’s AI Assurance body, leading the DoD’s RAI Academic Council, and chairing (by appointment of the White House) the working group responsible for assembling the process and resources for the inter-agency to comply with White House AI Risk Requirements.
Budget Line Items(workbook-cited)
P-1/R-1 workbook Total Obligation Authority basis (USD thousands) · PB2026.
Exhibit R-1
| Account | Org | Type | Amount |
|---|---|---|---|
| Research, Development, Test and Evaluation, Defense-Wide | OSD | FY24 Actuals | $13.0M |
| Research, Development, Test and Evaluation, Defense-Wide | OSD | FY25 Enacted | $9.26M |
| Research, Development, Test and Evaluation, Defense-Wide | OSD | FY25 Total | $9.26M |
Budget Details(R-2/P-40 facts)
J-book detail basis (R-2/P-40, USD millions) · PB2026 — a different accounting basis from the P-1/R-1 workbook TOA above; where the two disagree, the reconciliation strip under Budget Figures shows both.
Wider than this screen — swipe the table sideways for the remaining fiscal-year columns.
| Project | All Prior Years | FY24 Actuals | FY25 Total | FY26 Base | FY26 Request |
|---|---|---|---|---|---|
| Program Element | $0 | $13.0M | $9.26M | $0 | $0 |
| 069: Artificial Intelligence & Machine Learning Technologies | $0 | $13.0M | $0 | $0 | $0 |
| 086: Responsible AI | $0 | $0 | $9.26M | $0 | $0 |
No follow-the-dollar view — this program's awards haven't been crosswalked at high confidence (flows cover 17 of 1,741 programs). why coverage is partial? →
Awards
No awards are linked to this program element at high confidence — the budget→award crosswalk only asserts links it can defend, and this line has none yet.
Lobbying Mentions
Showing 25 of 44 from the Senate LDA disclosure database.
Support for international trade agreements, like USMCA, that promote digital trade and combat data localization…
Legislative & Regulatory Issues Related to International Trade: Provisions related to tariffs, digital trade, and…
H.R. 3838/S.2296 Defense appropriations related to information technology, procurement, operations, sustainment…
National 5G network, 6G, spectrum authority issues/spectrum auctions, and C-band, Huawei, data privacy, NDAA (fiber…
Support for international trade agreements, like USMCA, that promote digital trade and combat data localization…
Support for international trade agreements, like USMCA, that promote digital trade and combat data localization…
Support for international trade agreements, like USMCA, that promote digital trade and combat data localization…
Support for international trade agreements, like USMCA, that promote digital trade and combat data localization…
Legislative & Regulatory Issues Related to International Trade: Provisions related to tariffs and digital trade.
Legislative & Regulatory Issues Related to International Trade: Provisions related to tariffs and digital trade.
Legislative & Regulatory Issues Related to International Trade: Provisions related to tariffs and digital trade.
Legislative & Regulatory Issues Related to Domestic and International Tax, including Tax Treaties: Tax proposals…
Defense appropriations related to information technology, procurement, operations, sustainment, and RDT&E. CJS…
General digital transformation, cybersecurity and technology issues Multi-Cloud technology NASA Independent…
Defense appropriations related to information technology, procurement, operations, sustainment, and RDT&E. CJS…
General digital transformation, cybersecurity and technology issues, artificial intelligence Multi-Cloud technology…
Electronic Health Records Organ Transplant Issues Digital Transformation
National 5G network, 6G, spectrum authority issues/spectrum auctions, and C-band, Huawei, data privacy, NDAA (fiber…
National 5G network, 6G, spectrum authority issues/spectrum auctions, and C-band, Huawei, data privacy, NDAA (fiber…
National 5G network, 6G, spectrum authority issues/spectrum auctions, and C-band, Huawei, data privacy, NDAA (fiber…
National 5G network, 6G, spectrum authority issues/spectrum auctions, and C-band, Huawei, data privacy, NDAA (fiber…
Issues related to TCJA including R&D tax expensing Issues related to Global Digital Services Tax Proposals Issues…
Issues related to TCJA including R&D tax expensing Issues related to Global Digital Services Tax Proposals Issues…
Support for international trade agreements, like USMCA, that promote digital trade and combat data localization…
Support for international trade agreements, like USMCA, that promote digital trade and combat data localization…
Oversight
Department-level designation (not specific to this program)
GAO lists 5 high-risk areas for DOD as a whole. That designation covers the department, not Chief Digital and Artificial Intelligence Officer (CDAO) Activities — no program-specific GAO finding for this line is in the ingested data. See the DOD oversight record.
No research dossier for this program — dossiers cover 50 of 1,741 programs, the largest fully J-book-detailed lines by FY2026 requested dollars. why no dossier here? →