- The report argues that the Intelligence Community faces a historic inflection point because technological transformation, data growth, and geopolitical competition are eroding the adequacy of incremental institutional adaptation.
- Generative AI is presented as a general-purpose technology that could transform collection, analysis, production, dissemination, and evaluation while also increasing risks from disinformation and adversary intelligence capabilities.
- The report recommends that IC agencies move beyond pilots and begin deploying enterprise-level generative AI tools within two years, supported by governance, acquisition reform, privacy safeguards, and IC-wide standards.
- Human-machine teaming is described as a way to return the intelligence cycle to a more continuous and integrated process built around discovery, generation, fusion, and delivery.
- Open-source intelligence is framed as an essential force multiplier, with the report urging the IC to treat OSINT as an INT of first recourse rather than a last resort when speed-to-insight matters most.
This April 2024 Intelligence Interim Panel Report reflects work by SCSP’s Intelligence Panel over the prior year and a half and builds on earlier recommendations on data-driven intelligence competition. It argues that technological change, intensifying U.S.-PRC rivalry, explosive data growth, and private-sector innovation have created a historic inflection point for the U.S. Intelligence Community. The report reviews historical catalysts for intelligence reform, then treats technology as the new driver requiring more than incremental institutional adaptation. Its central recommendations focus on four priorities: scaling generative AI across the intelligence cycle, redesigning foreign and domestic partnerships, accelerating use of open and commercially available data, and enabling a more proactive U.S. strategic communications posture. The report proposes immediate AI governance and acquisition steps, including IC-wide guidance, human-machine teaming standards, privacy safeguards, and allied collaboration. It also recommends rethinking hub-and-spoke liaison models, expanding public-private partnerships, creating mechanisms to scale private-sector technology, and considering a dedicated open-source entity. On strategic communications, it frames the IC’s role as supporting policy agencies through analysis of adversary information operations, platform expertise, warning, and capability development. The policy relevance lies in aligning intelligence institutions, tools, talent, and partnerships with a faster, data-rich technology competition.
If you allow another country to gain access to really critical data about your society, over time that will erode your sovereignty.
Richard Moore
- Begin Using GenAI Tools Immediately. It is vital that the IC begins to make broader use of these tools immediately so that it can train its workforce.
- Focus on Being an “Agile Adopter”. IC agencies should partner with foundation model providers to license their LLMs and fine-tune their training with IC-owned datasets.
- Tackle Privacy Concerns Up Front. ODNI should work on getting IC agencies the necessary authorization to make use of LLMs that include personal identifiable information.
- Insist on IC-Wide AI Solutions Wherever Possible. ODNI should use its budget authority to insist that IC players cooperate to acquire near-cutting-edge LLMs from the private sector.
Published by the Special Competitive Studies Project. Co-publishers and external authors, where they exist, are credited in the byline above.