Topic

OUSD (R&E) CRITICAL TECHNOLOGY AREA(S): Trusted AI and Autonomy OBJECTIVE: Identify Generative AI Applications/Technologies DESCRIPTION: This open topic invites proposals that explore dual use Generative Artificial Intelligence (AI) technologies and applications to enhance government operations. The Chief Digital and AI Office (CDAO) seeks innovative, AI-driven solutions that can help streamline processes, improve decision-making, and provide more efficient and effective services to citizens. Generative AI holds significant potential for government applications, as it can be utilized to generate new content or solutions, automate complex tasks, and provide valuable insights from large datasets. PHASE I: Entities applying for a Phase I should be in search of product market fit with a CDAO mission set (www.ai.mil) and be early stage development. The final report at the end of the six (6) month period of performance shall cover steps accomplished to find product market fit within the CDAO mission sets and an analysis of the commercial potential should this technology be developed into a mature prototype ready for Authority to Operate (ATO) via a SBIR Phase II. PHASE II: Entities applying for a Direct to Phase II should have a clearly identified product market fit with a CDAO mission set (www.ai.mil) and be prepared to deliver an Authority to Operate (ATO)-ready prototype at the end of the 18 month Direct to Phase II period of performance. PHASE III DUAL USE APPLICATIONS: Describe one or more potential commercial applications, and one or more potential DoD/military applications for the technology that may be pursued by the firm post Phase II. Phase III refers to work that derives from, extends, or completes an effort made under prior SBIR/STTR funding agreements, but is funded by sources other than the SBIR/STTR Program. REFERENCES: 1. www.ai.mil KEYWORDS: Generative Artificial Intelligence (AI); Government Operations; Streamlining processes; Improving decision-making; Efficient and effective services; Automating complex tasks; Personalized communications; Document generation; Virtual assistants; Resource allocation; Testing and implementation; Acquisition Efficiency