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Artificial Intelligence Exploration (AIE) Program is sponsored by Defense Advanced Research Projects Agency (DARPA). AIEs are a key component of DARPA's broader AI investment strategy, aiming to ensure the U.S. maintains a technological advantage in AI. These unique funding opportunities use streamlined procedures to establish the feasibility of new AI concepts within 18 months.
DARPA seeks to advance AI research that results in trustworthy systems for national security missions, including those related to real-time analysis of sophisticated cyber-attacks and multi-modality automatic target recognition. This could encompass AI for surveillance and physical security applications.
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Department of War organization. Reimagining the future of artificial intelligence for national security DARPA’s Information Innovation Office Director Dr. Kathleen Fisher presents on trustworthy AI at the DARPA Forward event in Pullman, Wash. , on Sept.
13, 2022. AI Forward is DARPA’s initiative to explore new directions for artificial intelligence (AI) research that will result in trustworthy systems for national security missions. To initiate AI Forward, DARPA hosted two workshops in summer 2023 at which participants brainstormed new directions for the field.
Approximately 200 participants from across the commercial sector, academia, and government attended and generated ideas that inform DARPA’s next phase of AI exploratory projects, known as AI Exploration opportunities (AIEs). AIEs are a key component of the agency’s broader AI investment strategy aimed at ensuring the United States maintains an advantage in this critical and rapidly accelerating technology area.
What does it mean to be trustworthy? Despite progress in the field, AI still requires significant investment and advancement to develop technology that reliably operates, interacts appropriately with people, and meets the most pressing national security and societal needs in an ethical manner. DARPA seeks qualified researchers and experts to join the agency and help define the future of AI technology.
Trustworthy AI research thrusts --> DARPA experts estimate that research in the following areas will be essential to creating trustworthy technology: Foundational theory, to understand the art of the possible, bound the limits of particular system instantiations, and inform guardrails for AI systems in challenging domains such as national security; AI engineering, to predictably build systems that work as intended in the real world and not just in the lab; and Human-AI teaming, to enable systems to serve as fluent, intuitive, trustworthy teammates to people with various backgrounds.
Building on 60+ years of AI research DARPA has been generating groundbreaking research and development for 65 years – leading to game-changing military capabilities as well as icons of modern society such as initiating the research field that rendered self-driving cars, and developing the technology that lead to Apple’s Siri.
Since 2018 through the AI Next campaign , we invested more than $2 billion to advance AI for national security purposes. Today, roughly 70% of DARPA’s current programs benefit from AI and machine learning technology. We’re investing in more than 30 programs aimed at the exploration and advancement of a full range of AI techniques.
These include symbolic reasoning, statistical machine learning, meta-cognition, explanation and assurance, and hybrid methods. We want to push beyond second-wave machine learning techniques toward contextual reasoning capabilities, so that machines could be more than just tools, and function as true partners. Building on the success of AI Next, the AI Forward initiative focuses on trustworthiness for these systems.
This focus will be critical to developing technology that reliably operates, interacts appropriately with people, and meets the most pressing national security and societal needs in an ethical manner.
EMHAT: Exploratory Models of Human-AI Teams FACT: Friction for Accountability in Conversational Transactions FoundSci: Foundation Models for Scientific Discovery Reimagine the Future of AI for National Security How to Create AI Technology We Can Trust | Ep 66 The DARPA perspective on AI and autonomy at the DoD | Center for Strategic and International Studies (CSIS) | March 2024 Prepping for Future of AI Through High-Risk, High-Reward R&D | Federal News Network | March 2024 Kathleen Fisher: DARPA and AI for national security | The Gradient podcast | December 2023
Based on current listing details, eligibility includes: Qualified researchers and experts from commercial sector, academia, and government are encouraged to participate. The Silicon Valley Innovation Program (SVIP), which utilizes the AIE mechanism, offers funding to U.S. and international startups to adapt commercial AI/ML technology for national security missions. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Funding amounts vary based on project scope and sponsor guidance. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is December 4, 2025. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
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ONR GlobalX AI for Advancing Maritime Security is a research and development solicitation from the Office of Naval Research that funds the development of artificial intelligence solutions for maritime security applications. The program seeks innovative AI technologies that can advance the state-of-the-art in naval and maritime threat detection, domain awareness, and autonomous systems for defense applications. Eligible applicants include commercial firms, academic institutions, and nonprofits capable of developing qualifying AI solutions; both US and international organizations may apply in some cases. Award amounts vary by project scope and are determined through BAA or NOFO solicitation review. There is no fixed deadline; solicitations are released periodically through ONR's Broad Agency Announcement process.
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