Chief Digital Artificial Intelligence Officer

Abstract

This program supports the Department's initiatives to build enduring advantage and build a resilient Joint Force and defense ecosystem. On December 8, 2021, the Deputy Secretary of Defense (DSD) issued a memo establishing the Chief Digital and Artificial Intelligence Officer (CDAO) as the Department’s senior official responsible for strengthening and integrating data, artificial intelligence, and digital solutions in the Department. The memorandum establishes the CDAO as the “successor organization to the Joint Artificial Intelligence Center (JAIC)”. The CDAO reached Initial Operational Capacity (IOC) on February 1, 2022 and will integrate the JAIC, the Defense Digital Service (DDS), the Office of the Chief Data Officer (OCDO), and the Advancing Analytics (Advana) office from OUSD(Comptroller) as it approaches Full Operational Capacity (FOC) on June 1, 2022. The integration of the JAIC, OCDO, DDS, and Advana into the CDAO more comprehensively restructures how the Department approaches the complex and dynamic challenges of becoming a digital, data, and Artificial Intelligence (AI) enabled enterprise capable of operating at the speed and scale necessary to accelerate the Department’s adoption of data, analytics, and AI to preserve decision advantage. The functions of the CDAO are as follows: lead and oversee DoD’s strategy development and policy formulation for data, analytics, and AI; break down barriers to data and AI adoption; create enabling digital infrastructure and services; selectively scale and provide digital and AI-enabled solutions focused on enterprise and joint use cases; and surge digital services. This also requires CDAO to integrate the capabilities, personnel, resources, and governance of its constituent organizations, while concurrently sustaining momentum on priority projects that align to CDAO’s mission. These include expanding the enterprise data repository; establishing a responsible AI ecosystem; developing the AI and Data Accelerator (ADA) initiative; and developing a Data, Analytics, and AI Adoption Strategy. These various lines of effort will support the overarching mission of accelerating the Department’s adoption of data, analytics, and AI to preserve decision advantage across the Joint Force. This exhibit encompasses two activities: AI Acquisition Training and Responsible AI (RAI) and AI Governance Tools. The DoD must overhaul its acquisition processes and prioritize technical and acquisition training as highlighted in the 2018 National Defense Strategy, the 2018 DoD Artificial Intelligence Strategy, and the 2021 National Security Commission on Artificial Intelligence (NSCAI) Final Report. This funding will provide the basis of the training platform -Digital DNA Pilot Program- in partnership with OUSD(A&S). It is also incumbent on the Department to ensure all its AI-enabled systems will be safe and adhere to ethical standards and that they are used in a manner that contributes to the efficiency, effectiveness, and legitimacy of the Department’s AI capabilities. This requirement funds activities to develop, procure and maintain the necessary commercial and DoD-customized tools to put the DoD AI Ethical Principles into practice across the entire AI product lifecycle. RAI leaders across the Department are going to need access to and utilize tools that support the capability development process, including in areas of explainability of models, bias detection, and other areas necessary for RAI. This requirement provides for the integration of commercially available tools to include an Explainable AI tool, Synthetic Data & Anonymization tool, Data Management and Traceability tool, Continuous Integration/Continual Delivery tool, Auto-Machine Learning tool, Bias Mitigation tool, and the Interference Time tool into the Joint Common Foundation (JCF), which will embed the operationalization of the DoD AI Ethics Principles into the developer’s workflow. By doing so, these tools will not only provide technical assessments through the project lifecycle, but also allow for traceability and reliability to ensure safe and ethical systems from design to development and deployment to use. This requirement also funds the development of DoD-customized assessments and tools that RAI leads will use across the AI product and acquisition lifecycles.

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Document Details

Document Type
R2 Budgetary Justification
Publication Date
Oct 01, 2023
Source ID
0606135D8Z_6_0400_PB_2023
Change Summary Explanation
This exhibit will fund two new activities: AI Acquisition Training ($6.695M), and RAI and AI Governance Tools ($6.437M). The DoD must overhaul its acquisition processes and prioritize technical and acquisition training as highlighted in the 2018 National Defense Strategy, the 2018 DoD Artificial Intelligence Strategy, and the 2021 NSCAI Final Report. This new growth funding will provide the basis of the training platform -Digital DNA Pilot Program- in partnership with OUSD(A&S). It is also incumbent on the Department to ensure all its AI-enabled systems will be safe and adhere to ethical standards and that they are used in a manner that contributes to the efficiency, effectiveness, and legitimacy of the Department’s AI capabilities. This requirement funds activities to develop, procure and maintain the necessary commercial and DoD-customized tools to put the DoD AI Ethical Principles into practice across the entire AI product lifecycle. RAI leaders across the Department are going to need access to and utilize tools that support the capability development process, including in areas of explainability of models, bias detection, and other areas necessary for RAI. This requirement provides for the integration of commercially available tools to include an Explainable AI tool, Synthetic Data & Anonymization tool, Data Management and Traceability tool, Continuous Integration/Continual Delivery tool, Auto-Machine Learning tool, Bias Mitigation tool, and the Interference Time tool into the JCF, which will embed the operationalization of the DoD AI Ethics Principles into the developer’s workflow. By doing so, these tools will not only provide technical assessments through the project lifecycle, but also allow for traceability and reliability to ensure safe and ethical systems from design to development and deployment to use. This requirement also funds the development of DoD-customized assessments and tools that RAI leads will use across the AI product and acquisition lifecycles.
Service Agency Name
Office of the Secretary Of Defense

Entities

Organizations

  • Office of the Secretary of Defense

Tags

Communities of Interest

  • Autonomy
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Acquisition
  • Artificial Intelligence
  • Data Management
  • Deployment
  • Detection
  • Ecosystems
  • Efficiency
  • Learning
  • Machine Learning
  • Military Acquisition
  • National Security
  • Platforms
  • Reliability
  • Standards
  • Test And Evaluation
  • Training

Readers

  • Defense Acquisition Program Management
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Geospatial Intelligence and Artificial Intelligence Analytics

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy

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