The ongoing Ebola outbreak in the DRC serves as a critical warning that the global health security system is fundamentally unprepared for future biological threats. The difficulty in containing this outbreak is compounded by the rising risk of emerging pathogens and the growing potential for AI misuse in bioweapon development. Policy must therefore shift from reactive, crisis-driven funding to sustained, proactive investment in resilient public health infrastructure, particularly in conflict zones. Addressing this requires strengthening global surveillance, ensuring consistent international cooperation, and mitigating the intersection of conflict, climate change, and disease spread.
Artificial Intelligence
English Summary
This CFR page functions as an AI policy archive rather than a single-claim essay, signaling that artificial intelligence is a sustained strategic priority across Council analysis. The key evidence is the scale and breadth of coverage: 215 entries and contributions from experts spanning security, geopolitics, economics, and technology policy. The underlying reasoning is that AI’s impact is systemic and cross-sector, requiring ongoing multidisciplinary assessment instead of one-off commentary. For policymakers and strategists, the implication is to treat AI as a whole-of-government and international coordination issue, linking innovation policy with risk governance and national competitiveness.
中文摘要
此 CFR 頁面與其說是一篇提出單一主張的文章，不如說是 AI 政策檔案庫，顯示人工智慧已成為該委員會分析工作中的長期戰略優先事項。其關鍵證據在於覆蓋的規模與廣度：共有 215 筆條目，且由橫跨安全、地緣政治、經濟與科技政策的專家共同貢獻。其底層邏輯是，AI 的影響具有系統性且跨部門，因此需要持續且跨學科的評估，而非一次性的評論。對政策制定者與戰略規劃者而言，這意味著應將 AI 視為全政府與國際協調層級的議題，將創新政策與風險治理及國家競爭力相互連結。
Related Entries
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2.A Design Lab Pilot to Inform Strategies for Expanding Access to Medications for Opioid Use Disorder in Community Mental Health Centers (RAND)
Despite MOUD being the standard of care for opioid use disorder, access remains severely limited in Community Mental Health Centers (CMHCs), which serve the primary population with co-occurring disorders. A Design Lab pilot identified payment limitations and regulatory complexity as the chief barriers to implementation. The most feasible and high-impact strategy identified was establishing a structured learning exchange between CMHC leaders and insurers to improve reimbursement understanding. Policymakers and payers are therefore advised to pilot this learning exchange model to initiate broader payment reform and expand evidence-based care for this vulnerable population.
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The report argues that the rapid integration of AI creates novel and complex risks—such as deepfakes, misinformation, and intellectual property disputes—that do not fit within existing insurance lines, challenging the technology's overall insurability. Evidence shows that while lawsuits center on IP, the scope of harm is expanding into privacy and product liability, and insurers are responding unevenly with a mix of exclusions and limited coverage. Policymakers must therefore focus on managing systemic, correlated AI risks, including shared model dependencies and universal attacks, to prevent market failure and guide necessary regulatory oversight.
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Qatar aims to establish itself as a global hub for RDI, recognizing human capital as foundational to a knowledge-based economy. While the nation has launched numerous initiatives—including the Mustaqel Visa and specialized parks—the report finds that Qatar's RDI ecosystem faces structural gaps, evidenced by R&D expenditure remaining significantly below the OECD average and a workforce heavily reliant on expatriates. To achieve its 2030 goals, the study argues that Qatar must deepen the 'Triple Helix' collaboration between academia and industry, diversify private sector funding, and overhaul retention policies. Sustained policy coordination and strengthening career pathways for both local and international talent are critical for transforming potential into long-term economic capability.
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The article argues that China is establishing digital chokepoints by penetrating critical U.S. infrastructure, creating a cyber asymmetry that gives Beijing a strategic advantage. This vulnerability is compounded by the decentralized nature and outdated hardware of American utilities. To counter this, the U.S. must leverage AI to create 'digital twins'—virtual replicas of critical systems—which allow for proactive stress-testing and vulnerability mapping. Policy recommendations include establishing a secure, national enclaved for AI testing, coupled with legal reforms (like safe harbor) and government-private partnerships to accelerate the necessary upgrades and secure the digital frontier.