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Aram Gavoor

Associate Dean for Academic Affairs at GW Law and an expert in technology policy and national security, providing analysis of the Biden Administration's National Security Memorandum on AI and related doctrine.

Top 3 podcasts with Aram Gavoor

Ranked by the Snipd community
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Jan 24, 2025 • 35min

Lawfare Daily: Aram Gavoor on the Trump Administration's AI Pivot: Trading Safeguards for Stargate

Aram Gavoor, Associate Dean for Academic Affairs at GW Law and an expert in AI policy, joins Kevin Frazier to discuss pivotal shifts in U.S. AI policy under the Trump administration. They delve into the ambitious Stargate Project, which aims to allocate $500 billion for AI infrastructure, exploring its implications for national security and economic re-industrialization. The duo also analyzes the rescinding of the Biden administration's executive order on AI, looking at its impact on civil liberties and the evolving tech landscape.
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Apr 12, 2026 • 46min

Lawfare Archive: Aram Gavoor on the Biden Administration’s AI National Security Memo

Aram Gavoor, Associate Dean at GW Law and technology policy and national security expert, breaks down the Biden administration's first national security AI memo. He traces its origins, explains how it was produced, and outlines its strategic aims on industry signaling, frontier models, procurement changes, China competition, talent recruitment, and energy demands. Short, timely analysis of policy and implementation choices.
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Oct 28, 2024 • 45min

Lawfare Daily: Aram Gavoor on the Biden Administration’s AI National Security Memo

Aram Gavoor, Associate Dean for Academic Affairs at GW Law and an expert in AI policy and national security, joins Kevin Frazier to dive into the groundbreaking National Security Memo on AI. They discuss its implications for future AI policy, particularly in light of upcoming elections. The conversation covers the delicate balance between advancing AI technology and protecting civil rights. Gavoor highlights the significance of governmental collaboration to tackle challenges posed by AI, especially amid global competition, particularly with China.

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